Opulent lace has been lavished on a corset that has been designed to sculpt and lift. The soft sheen of the red duchess satin is contrasted with black lace, which draws the eye to the narrowest parts of the corset. Flattering the wearer's silhouette.
The soft sheen of the satin cloth and the seductive figure hugging shape of this long pencil skirt, work together to deliver the maximum visual impact. Made to flaunt the hourglass figure, this effect is amplified when worn with corsets. It can be paired with any number of corsets and beloros to give a totally unique look, that will turn heads for sure.
Complete your outfit with detachable halter straps made from luxury duchess satin that are attached to the corset using the finest quality metal top hooks. The hooks are attached to the loops which are found at the top of all Kinnaird and Playgirl corsets. The halters are then tied at the back of the wearers neck.


Astaro Corporation, a leading network security vendor, has been named a finalist in the 2010 SC Magazine Awards program for outstanding achievement in information technology (IT) security.
This year's SC Magazine Awards finalists, including The Astaro Security Gateway, represent the best of the security industry," said SC Magazine Editor-in-Chief Illena Armstrong.
Astaro Corporation http://www.astaro.com, a leading network security vendor, has been named a finalist in the 2010 SC Magazine Awards program for outstanding achievement in information technology (IT) security. Its Astaro Security Gateway is recognized in the Excellence Award category as Best SME Security Solution, which recognizes companies with superior security products that help customers tackle today's pressing security challenges.
As the industry's preeminent awards program, the annual SC Magazine Awards has recognized security's key contributors and outstanding products for more than a decade. The SC Magazine Awards are designed to honor the professionals, companies and products that help fend off the myriad security threats confronted in today's corporate world. Individuals, brands and solutions recognized in the program address not only the security challenges prominent today, but also the emerging threat landscape of tomorrow.
IT security companies nominate their solutions for consideration in the SC Magazine Awards and entries are judged by a panel of leading security officers from large, medium and small enterprises from all major vertical markets – representing the wide distribution of SC Magazine readers.
SC Magazine provides IT security professionals with in-depth and unbiased information through timely news, comprehensive analysis, cutting-edge features, contributions from thought-leaders and the best, most extensive collection of product reviews in the business. By offering a consolidated view of IT security through independent product tests and well-researched editorial content that provides the contextual backdrop for how these IT security tools will address larger demands put on businesses today, SC Magazine enables IT security pros to make the right security decisions for their companies. Besides the monthly print magazine and daily website, the brand's portfolio includes the SC Magazine Awards, SC Directory, SC Magazine Newswire and the annual SC World Congress conference and expo.
Astaro offers the most complete and easy to use Internet security appliances available. Combining best of breed applications, the proven quality of Linux and enterprise level performance, Astaro's award-winning products provide the latest protection with the best total cost of ownership. Software, hardware and virtual appliance offerings provide users the flexibility to meet a wide variety of deployment scenarios. Distributed by a growing worldwide network of more than 3,000 resellers, Astaro products protect over 100,000 networks for 47,000 customers across 60 countries. Astaro, headquartered in Wilmington, Massachusetts, USA and Karlsruhe, Germany, offers free downloads of its products at http://www.astaro.com.


McNair Evans explores themes of shared experiences and identity by photographing the American cultural landscape amidst forces of modernization, with sharp focus on the individuals most impacted by these changes. His work presents personal, sometimes autobiographical, subject matter in unconventional narrative form, and has been recognized for its literary character and metaphoric use of light.
Evans' photographs are held in major public and private collections, including the San Francisco Museum of Modern Art, and his work has been featured in exhibition settings and editorial publications including Harper's Magazine, The New Yorker, The Wall Street Journal, The San Francisco Chronicle and The Financial Times, as well as on the cover of the William Faulkner novel Flags in the Dust. McNair has lectured at The University of California, Berkeley, The Hartford School and The University of South Carolina, Columbia, among others institutions.


text:
Walter De Maria, The Lightning Field, 1977. © The Estate of Walter De Maria. Photo: John Cliett
The Magpie
From the Magpie (Faces)
From the Magpie (Charlotte/Charlotte)
From the Magpie (Digging)
Things | From The Magpie
In Which the Magpie Takes to the Field
De Maria's field of lightning . . . Thoreau's "botany boxes" . . . James Schuyler's salute to the past
"My sense of time in the city meant nothing in this place," writes Laura Raicovich in her book-length essay At the Lightning Field . "It was replaced by a feeling of forever that was closer to geologic time than my own notions of a day or week passing. I thought I could understand big things better if I stayed." Raicovich is writing about her first visit to Walter De Maria's art installation The Lightning Field , which is composed of four hundred stainless steel poles scattered across a grid one mile by one kilometer and six meters in the desert in New Mexico.
More than a century before, Henry David Thoreau began bringing home plants in his hat, which he called his "botany box." He had become aware of plants; he wanted to know their names. He wrote, "I soon found myself observing when plants first blossomed and leafed." He went farther afield, "running to different sides of the town and into the neighboring towns often between twenty and thirty miles in a day. I often visited a particular plant four or five miles distant half a dozen times within a fortnight, that I might know exactly when it opened."
Here are two of the pages from Thoreau's herbarium, which you can see—along with his pen, his desk, and his treasured copy of the Bhagavad Gita , among other intimate traces of his vast consciousness—at the current Morgan Library exhibit "This Ever New Self: Thoreau and His Journal."
You can see his journals, too, although the handwriting is so fine that one might need a magnifying glass to read any of the pages. Here is a typical spread.
Odd, isn't it, that the plants are so much easier to read? Or perhaps not.
In his astonishingly graceful book-length essay Afternoon of a Writer , Peter Handke writes of a man, a writer, whose sense of himself as a writer is fragile. "Ever since the time when he lived for almost a year with the thought that he had lost contact with language, every sentence he managed to write, and which in addition left him feeling that it might be possible to go on, had been an event." After managing to write a few lines, the man takes a walk. It is winter. He sees: "The snow settled first on the middle strip of grass; it looked as though birch branches had been laid on the road, one after another, and so on to the horizon. In a bramblebush, single crystals would balance on thorns and then encircle them like ruffs." He sees roads. He sees the edge of town. He sees a playground. He sees an old woman lying on the ground, for whom he calls an ambulance. He writes of what he sees, of what, in a sense, sees him. By the time his walk is done, he feels that "to himself he was a puzzle, a long-forgotten wonderment."
Do you hear what I am telling you? It is time to take to the field. The Magpie is taking to the field now and won't be back for a while; it is summer. For you, the field may be a street, a march, a body, a body of water, the lines of your hand. "Looking deeply," writes Raicovich, "is a question of scale. How close? How far? It may not matter, you might see the same thing." She visited The Lightning Field many times, going back and back, the experience of the field inexhaustible, constantly changing, like a beloved face.
"I wanted to know," said a friend of her time in EST in the seventies, "how not to be destroyed by things happening. I mean, the bad things are going to happen. I wanted to survive them." Isn't that why we walk, and why we write? To survive? To recover our sense of ourselves, and others, and the world around us, as a puzzle, a long-forgotten wonderment, a way of understanding big things better?
One summer, the Magpie was in a place near fields of flowers with phenomenally saturated red petals. The red was like a chord. Or maybe it was a chord. Sweatily, carefully, I gathered heaps of the small, densely red flowers, but when I got them back—well, you know the end of this story. Looking at the broken stems and wilted petals on my desk, I thought, Now that's just a ridiculous metaphor, the impossibility of, Eurydice, blah blah . But I may have gotten the lesson wrong, because I didn't notice until much later that my failure to gather those particular flowers meant that I had to go to them, in the field, every day. I had to go to the field. And when I went to the field, I saw not only the flowers with a red like a chord, but flowers with tiny yellow petals, long spindly green stalks with white flowers, a house in the distance, snail shells with snails in them, grasses. I saw, in other words, the field. How close? How far?
In the poem "Salute," James Schuyler writes,
Like that gather-
ing of one of each I
planned, to gather one
of each kind of clover,
daisy, paintbrush that
grew in that field
the cabin stood in and
study them one afternoon
before they wilted. Past
is past. I salute
that various field.
I salute the faces I miss, the things that happen, the lightning strikes. My darlings, I salute you, close and far. I'm like that, charging into the field with my sweaty plan, my little basket, my certainty of what I'm after. Was the point really, for Thoreau, that exact moment of the plant's blooming? Or was it the continual iterations of the transformation?
I am always forgetting, and the field is always reminding me, of what it is to see, and see again, and see again, and see again.
Past is past. I salute that various field.
The Magpie is someone who notices what gleams in the world.
Enter your email address to receive notifications for author The Magpie
You have been added to the notification list for author The Magpie
In Which the Magpie Makes a Ghost Map of the City
The haunting of Rooney Mara . . . a delivery room turned walk-in closet . . . Ain Gordon's "Radicals in Miniature"
In Which the Magpie Seeks the Zeitgeist of the Losers
The stuff we talk about after we finish with our weekly outrage.
In Which the Magpie Considers What a Giant Might See
Puppies . . . daffodils . . . surveillance-proof cloaks
From the Magpie (Balance)
John Cage, the blooming of the corpse flower, and anarchic harmony.
From the Magpie (Work)
In which the Magpie finds direction in the grids of Agnes Martin.
In Which the Magpie Considers the Possibilities of Outer Space
Spacepeople perch in trees . . . prisoners in the desert read the stars . . . escalators lead the way to the Big Bang

redpajama_set_name: RedPajamaCommonCrawl


On 14th February, fifty Year 8 pupils went on a fun-filled experience to the ZSL London Zoo, as a reward for having 100% attendance.
The trip enabled pupils to fulfil their wondrous curiosities in relation to animals and their natural habitats. It was a captivating day where pupils were thrilled to encounter unfamiliar species and ecosystems.
As part of the ZSL London Zoo experience, enjoyable activities related to active discovery learning, were incorporated throughout the day. Pupils worked in large groups harmoniously while expanding their knowledge in the process.
This extraordinary opportunity allowed our pupils to discover a wide variety of animals and participate in educational sessions, related to the conservation of different species and their homes. The ZSL London Zoo experience inspired the groups to delve deeper and consider how animals under threat, can be protected in controlled environments.
Well done to all Year 8 pupils that were involved - it was truly a remarkable day. We look forward to more reward trips in the near future!


text:
using System.Windows.Media;
using System.Windows.Shapes;

namespace SuperMap.WindowsPhone.Core
{
    ///
    /// ${WP_mapping_PolylineBase_Title}

    /// ${WP_mapping_PolylineBase_Description}
    ///
    public class PolylineElement : ShapeElement
    {
        ///
        ///     #${WP_pubilc_Constructors_Initializes} <see cref="PolylineElement">PolylineBase</see>
        ///     ${WP_pubilc_Constructors_instance}
        ///
        public PolylineElement()
            : base(new Polyline())
        {
        }

        /// ${WP_mapping_PolygonBase_attribute_FillRule_D}
        public FillRule FillRule
        {
            get
            {
                return (FillRule)base.EncapsulatedShape.GetValue(Polyline.FillRuleProperty);
            }
            set
            {
                base.EncapsulatedShape.SetValue(Polyline.FillRuleProperty, value);
            }
        }
        /// ${WP_mapping_PolygonBase_attribute_ScreenPoints_D}
        protected override PointCollection ScreenPoints
        {
            get
            {
                return ((Polyline)base.EncapsulatedShape).Points;
            }
            set
            {
                ((Polyline)base.EncapsulatedShape).Points = value;
            }
        }
    }
}

redpajama_set_name: RedPajamaGithub


The Tranced Villages of Nagaland – Where is Shyamni?
It's not everyday that you find yourself being offered tea and fire-popped corn by a Naga Angh (headman) in his opium den.
a) Say no thanks (and risk offending the chief of a once-were-headhunters tribe)?
b) Take the tea and say thanks. (and hope that the tea is not laced with something)?
Last Sunday morning, I went with option B.
2 hours further up from Mon, I rode out to 2 Naga villages of the Konyak tribe. Tamgnyu's new Angh has only been in power since 2009 when his father passed away and I'm not sure if he fully understands the magnitude of the title that has been passed onto his shoulders.
Hunts from the pre-christian days.
His opium den also the front room of his home is dark. All windows are shut. But they can't keep the Sunday church songs from floating in from a nearby church. Despite the tribal history, much of Nagaland has now converted to Christianity. I can't help but compare the similarities of a Naga village to a Fijian koro and wonder if there is any history of connection between these two tribal clans of people.
In the middle of the room, a small fire is crackling with hunted game skeletons of the past, hanging over. He has two minions who prepare his 'fix' every 5 minutes.
The process is; he puffs the fix from the bamboo bong then he drinks some of the tea that is brewing in another bamboo pipe over the fire and then puffs a few more times till it's all gone. Drinks more tea. Then he lights a rolled smoke till that finishes. Then repeats the entire process again. I watched this process repeat 3 times.
Popping corn over fire. Tea in bamboo pipe.
Well dear reader just in case you missed it, I must have passed the character test of a bona-fide middleman and if you ever need someone to go in….
Not sure how to respond, I glance sideways to my 'guide'. A 24-year old fixed by 'aunty' (next post). Guide explains in Naga dialect that I was here for the skeletons. Heeyt! Spat the Aung. Deeply disappointed and bewildered that I had risked coming all the way to Tamgnyu (somewhere along the India/Myanmar border where Google maps wouldn't dare to go) for some bones??!
All put away, he said. Church causing too much pressure. The we had to wait for him to take his next fix. All the opium smoke slowly soaked into me; my clothes, hair, skin…and I sunk a little deeper into the plastic chair. Now I was disappointed – no displays of humans hunts, like the game one creaking on top of our heads.
Only for you, I show. But only head – no body. ok?
You want this? 100 rupees each. Waving rolls of cloth. (No I don't want your opium. Australian quarantine will smell that from 1000 miles away before I reach customs.) But I still gave him 200 rupees. We had to wait till church was over.
Overlooking the village of Tamgnyu, Nagaland.
Then he took us past his father's grave, past the pig sty, past the toilets and told us to wait. There's a bite in the mountain air and the overcast day provided a perfect eery set for a viewing of human skulls. From underneath some stones, he quickly pulls out 2 heads and lets me take pictures and then shoves them back again before anyone could see.
Old skeletons from headhunting days kept hidden away.
Checking if someone is looking!
Headhunting was a ferocious Konyak practice before it was declared illegal by the Indian government after 1950 sometime.
Headhunting was a ferocious Konyak practice before it was declared illegal by the Indian government after 1950 sometime. Technically there are people still alive in Tamgnyu and Longwa (next village) who have umm..headhunted other people. Read about headhunting history in Nagaland here.
We wave him goodbye on the way back. The guide and I lock eyes. Something about human bones and being a village full of headhunters in the remotest hills of India and Myanmar…wordlessly we double up to find our Bihari van driver and got the hell out of there!
Till the next installment, I leave you with a new mainstream Bollywood trance track. It's quite catchy…and appropriate for this post!


text:
Posted on May 30, 2022 May 30, 2022 by Jolie Diane
Dear Friends, Sorry to Announce a Genocide
Those responsible for these crimes must be prosecuted. -JD
May 29, 2022 | By Dr Naomi Wolf |
It's Really True: They Know they are Killing the Babies
I've been silent for some weeks. Forgive me.
The truth is: I've been rendered almost speechless — or the literary equivalent of that — because recently I've had the unenviable task of trying to announce to the world that indeed, a genocide — or what I've called, clumsily but urgently, a "baby die-off" — is underway.
The WarRoom/DailyClout Pfizer Documents Research Volunteers, a group of 3000 highly credentialled doctors, RNs, biostatisticians, medical fraud investigators, lab clinicians and research scientists, have been turning out report after report, as you may know, to tell the world what is in the 55,000 internal Pfizer documents which the FDA had asked a court to keep under wraps for 75 years. By court order, these documents were forcibly disclosed. And our experts are serving humanity by reading through these documents and explaining them in lay terms. You can find all of the Volunteers' reports on DailyClout.io.
The lies revealed are stunning.
The WarRoom/DailyClout Volunteers have confirmed: that Pfizer (and thus the FDA) knew by December 2020 that the MRNA vaccines did not work — that they "waned in efficacy" and presented "vaccine failure." One side effect of getting vaccinated, as they knew by one month after the mass 2020 rollout, was "COVID."
Pfizer knew in May of 2021 that 35 minors' hearts had been damaged a week after MRNA injection — but the FDA rolled out the EUA for teens a month later anyway, and parents did not get a press release from the US government about heart harms til August of 2021, after thousands of teens were vaccinated. [https://dailyclout.io/pfizer-vaccine-fda-fails-to-mention-risk-of-heart-damage-in-teens/]
Pfizer (and thus the FDA; many of the documents say "FDA: CONFIDENTIAL" at the lower boundary) knew that, contrary to what the highly paid spokesmodels and bought-off physicians were assuring people, the MRNA, spike protein and lipid nanoparticles did not stay in the injection site in the deltoid, but rather went, within 48 hours, into the bloodstream, from there to lodge in the liver, spleen, adrenals, lymph nodes, and, if you are a woman, in the ovaries. [https://dailyclout.io/internal-pfizer-documents-prove-knowledge-that-lipid-nanoparticles-in-mice-subjects-do-not-remain-in-muscle-but-were-shown-to-be-rapidly-distributed-in-the-blood-to-the-liver/]
Pfizer (and thus the FDA) knew that the Moderna vaccine had 100 mcg of MRNA, lipid nanoparticles and spike protein, which was more than three times the 30 mcg of the adult Pfizer dose; the company's internal documents show a higher rate of adverse events with the 100 mcg dose, so they stopped experimenting with that amount internally due to its "reactogenicity" — Pfizer's words — but no one told all of the millions of Americans who all got the first and second 100 mcg Moderna dose, and the boosters.
Pfizer skewed the trial subjects so that almost three quarters were female — a gender that is less prone to cardiac damage. Pfizer lost the records of what became of hundreds of their trial subjects.
In the internal trials, there were over 42,000 adverse events and more than 1200 people died. Four of the people who died, died on the day they were injected.
Adverse events tallied up in the internal Pfizer documents are completely different from those reported on the CDC website or announced by corrupted physicians and medical organizations and hospitals. These include vast columns of joint pain, muscle pain (myalgia), masses of neurological effects include MS, Guillain Barre and Bell's Palsy, encephaly, every iteration possible of blood clotting, thrombocytopenia at scale, strokes, hemorrhages, and many kinds of ruptures of membranes throughout the human body. The side effects about which Pfizer and the FDA knew but you did not, include blistering problems, rashes, shingles, and herpetic conditions (indeed, a range of blistering conditions oddly foreshadowing the symptoms of monkeypox).
The internal documents show that Pfizer (and thus the FDA) knew that angry red welts or hives were a common reaction to the PEG, a petroleum-derived allergen in the vaccine ingredients — one that you are certainly not supposed to ingest. Indeed, PEG is an allergen so severe that many people can go into anaphylactic shock if they are exposed to it. But people with a PEG allergy were not warned away from the vaccines or even carefully watched by their doctors, EpiPen in hand. They were left to their shock.
Pfizer knew that "exposure" to the vaccine was defined — in their own words – as sexual contact (especially at time of conception), skin contact, inhalation or lactation. [https://dailyclout.io/vaccine-shedding-can-this-be-real-after-all/]. 'Fact-checkers' can deny this all they want. The documents speak for themselves.
Dr David E Martin | ProsecuteNow.com
"The novel coronavirus vaccine contains graphene oxide" LINK
Chinese Patent CN112220919A CV Vaxx contains graphene oxide
https://www.supplierss.com/shanghai_national_engineering_research_center_for_nanotechnology_co_ltd_e1793593.html
Previous post: WHO Forced into Humiliating Backdown
Next post: Censored: China's Largest Student Protests Since Tiananmen Square


text:
Pupils assist with Covid Vaccines
Three inspirational King's pupils have been making the most of their spare time during lockdown by helping GP's in Worcestershire to roll out the COVID-19 Vaccine Scheme.
Charlie Waddington (L6, B), Olivia Sproule (UR, Cl) and Harry Sproule (L6, Ch) have regularly been working 8-hour shifts, helping direct, guide, seat and look after patients called up to have their vaccinations, leaving the doctors free to carry out what they do best… and resulting in more vaccinations all round.
Last Saturday the students were part of a team that managed to vaccinate 1200 Over 80's in just one day! Their hard work doesn't stop there; they are already booked into volunteer again twice this week and are hoping to repeat the success & help the NHS vaccinate another 1000 people at each of these sessions.
Dr Gemma Moore, who heads up four of Worcestershire's COVID-19 Vaccination Clinics said "The students all worked exceptionally hard, had fantastic manners and were wonderful at helping patients. They spent the day directing people through the building, giving out key information to patients, opening and closing doors, assisting people who were not very mobile, pushing wheelchairs and even directing cars in the car park! They also provided clinical staff with much-needed cups of tea and coffee to keep them going. They were wonderful advocates for King's and very much played part of the team effort."
It has been a great experience for all three students, and an excellent use of their spare time during Lockdown, Olivia has said that "I like to volunteer because of the way the NHS have helped us during this pandemic" and Harry stating "the more I help out, the more people the doctors and nurses are able to vaccinate'
Headmaster , Mr Doodes has praised the students for their involvement "
The pace of the vaccine programme is impressive and it's equally impressive to hear of pupils involved and playing their part in support of the rollout" I would like to commend Harry, Charlie & Olivia for their initiative in volunteering to help out with such an important cause, and congratulate them for all their hard work. Everyone at King's is very proud.


Vibrating Screen Working Principle - 911 Metallurgist. Mar 19, 2017 . The pattern of vibration for the horizontal screen deck is back and forth .
Vibratory Deck Screen Dwg - mayukhportfolio.
Manufacturer of Vibrating Screen - Vibrating Screens, ... These screens are heavy duty type working on principle of circular motion and ... Double Deck Vibrating Screen.
double deck stone vibrating screen,US $ 4,000 - 15,000 / Set, New, Circular, Ore.Source from Zhengzhou Jiangtai Heavy Industrial Machinery Co., Ltd. on Alibaba .
With a complete line of vibrating equipment can work with you to ... flow through oil lubrication, double ... history of vibrating screen excellence.
double deck vibrating screen for sand,US $ 4,000 - 15,000 / Set, New, Circular, Ore.Source from Zhengzhou Jiangtai Heavy Industrial Machinery Co., Ltd. on Alibaba .
Working Principle The double deck vibrating screen absorbs the advantages of the circular and linear motion screening machines in the vibration principle.


We now offer our banners for sale ! they are 10ft x4ft .
We can put your business name/web address for on it for no additional charge!
It is the best way to advertise and promote your business to public.
Printed on 15oz premium Scrim Matte and Glossyvinyl. Banners are printed on digital printers using Eco-Solvent inks.The vinyl banners are sturdy and durable with up to 1 year outdoor and 2 years indoor use. Banners are sent out hemmed or taped and grommeted with brass grommets.


In an exclusive interaction with Restaurant India, Siddharth Aggarwal, Co-Owner, Piali talks about their idea of starting a 'Curry' focused restaurant.
If there is one thing culinary experts from around the world swear by it is the Indian 'curry'. But the curry is not just limited to India. With each passing generation, new countries and regions have added their own specialities and entered the curry genre of food. Piali- The Curry Bistro is all set to bring about a revolution around this world famous 'curry'.
When did you planned to start a 'Curry' focused restaurant?
I am doing CA and I am in the last phase of completing my CA. My brother and I started our first restaurant in Roorkee by the name of Olive and the experience started from there only. I partnered with my friend Ashish Gupta who is government contractor and we together started this restaurant.
What made you choose CP over other locations?
At first I thought of starting a restaurant in East Delhi, but after seeing the expenses and rentals I think to go with Connaught Place as this place has high footfall as compared to east Delhi. CP is very good market and now it is growing. It was stabilise from last 10 years but from last two years restaurateurs like Umang Tewari and Priyank Sukhija have changed the face of the place.
Why are you focusing on curries as your main serving?
As curries is India's favourite our focus will be on world curries- Malaysia, Pakistan, Bangladesh, all the famous curries from all over the world will be our focus. Different types of curry have travelled from around the world and evolved over the ages. This is why we decided to give a little more attention to the curry by making it the dish in focus at Piali. Assam curry, Bihari Fish Tikka Curry, Bengali curries are some of other top curries that will be our speciality. We have 20 starters, Pasta, Pizza and a high end bar serving beer along with it.
Why did you choose Delhi over Roorkee as you are already running a restaurant there?
I am operating a restaurant from last 3 years and my last restaurant is also doing well. In Roorkee it is only the family and the IIT crowd. Everyone is not ready to get into the bar. However, in Delhi if there is no bar restaurant will be no success.
What is the total investment done to start this restaurant?
We have put about 2.5 crore to start this restaurant. The total investment is done by Ashsih and me.
From where do the roots come to enter the business?
My family is a business family in Roorkee and we sell utensils and crockery related stuffs. And, we have supply of raw materials like brass, aluminium. So, I think it was in blood that got me into the food business.
What is the size of the restaurant? And, how is the designing done?
The size of the restaurant is around 2000 sqft. It is a 70 cover casual dining restaurant. I am not selling the concept. In fact, I am selling the food with the concept. Designed by Heena Hnada from Design Board Gurgaon the restaurant has most contemporary architecture, with wooden furnishings, an artificial fireplace and incandescent lighting.
I have already planned if this restaurant hits the market I will open another soon. I think Satyaniketan could be target location. In next five years I am targeting 10 outlets.


For a limited time this summer at Walt Disney World Resort, experiencing special Frozen fun, including a sing-along stage show, Frozen fireworks and more during the Coolest Summer Ever! That's why Disney Junior wants to send you and your little ones on a 5-day, 4-night Walt Disney World vacation for four! Enter today because there's no better time to start the magic.
This sweepstakes may be entered via the Internet only by a registered member of Disney.com. A member may enter by logging onto Disney.com/MyMagicalFirst, logging in with your Member Name ad Password and following the "How to Enter" instructions. If you are not a Member, you need to become a Member first.


Georgia BikeFest is a rolling celebration of biking. The thrill and freedom of the open road culminate to create one of the best festivals of the year. Nothing beats enjoying the changing leaves of the fall season from the seat of your bike as you pedal from rest stop to rest stop.
Multiple rides are available from a century to short 10 mile rides, all fully supported. Rides are Friday, Saturday, and Sunday.
After the ride and a hot shower, there is plenty to do. There are bands Friday and Saturday, downtown Columbus is blocks away and there are plenty of festivities to be enjoyed. As with any ride, it is the people that make it great, and Georgia BikeFest always attracts the entertaining ones.


Protecting the homes of Rabalais clients begins with upgraded electrical services.
We offer a variety of services designed to help protect clients' homes, save them money, and give them more overall piece of mind.
Trained Rabalais electrical technicians can provide upgrades of circuit breaker panels, install dedicated circuits, and even install new panels and meters in your home. Solar panels and wind energy turbines are also available.
Need a small electrical project handled? Rabalais technicians can install ceiling fans, dimmer switches, security and landscape lighting, track or indirect lighting, outlets, and any nearly any other electrical component you might need.
If an electrical component in your residence isn't working correctly, our highly skilled electricians, who are also trained diagnosticians, will use their extensive knowledge and experience to troubleshoot and repair just about any problem.
In today's business environment, many professionals work at home, relying on high-speed connections to telecommute and access off-site networks. Rabalais can provide systems and tools to make your home office more efficient.
Imagine being able to control every system and appliance in your home in much the same way as channel surfing with your remote—not just from your couch, but from every room in your house, and even remotely from your cell phone.
For your next residential electrical project, contact Rabalais.


We're just 20 minutes north of Cairns city and CBD, directly on the beachfront at Yorkey's Knob, a beautiful sweep of white sandy beach ideal for watersports or simply relaxing with family and friends.
The Domestic and International Airports are only 15 minutes drive from Yorkey's Knob. Hire cars can be booked through our tour desk (ask us to recommend local operators) & Sunbus provide a regular service to Cairns, Smithfield & other Northern Beaches, with Bus Stops almost at the gate.
Tropical North Queensland has two distinct seasons; a winter period of warm temperatures and low rainfall, and a summer period of balmy temperatures and higher rainfall.
Winter (May-Oct) offers idyllic conditions - sunshine, fresh breezes and low humidity. Summer (Nov-Apr) has a lush tropical atmosphere with electrical storms and afternoon downpours which feed the magnificent waterfalls in the nearby rainforests. This is a spectacular time to visit our region.
Average daily temperatures range from a minimum of 17°C overnight to a maximum daytime temperature of 33°C. Sea temperatures are in the range of 23°C-29°C all year around.


text:
US10056095B2 - Emotion detection in voicemail - Google Patents
Emotion detection in voicemail Download PDF
US10056095B2
US10056095B2 US15/399,193 US201715399193A US10056095B2 US 10056095 B2 US10056095 B2 US 10056095B2 US 201715399193 A US201715399193 A US 201715399193A US 10056095 B2 US10056095 B2 US 10056095B2
voicemail message
Raquel Sanchez Martinez
Nuance Communications Inc
2017-01-05 Application filed by Nuance Communications Inc filed Critical Nuance Communications Inc
2017-06-13 Assigned to NUANCE COMMUNICATIONS, INC. reassignment NUANCE COMMUNICATIONS, INC. ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: MARTINEZ, RAQUEL
230000035897 transcription Effects 0.000 claims description 69
238000000034 methods Methods 0.000 claims description 49
280000889963 Persona companies 0.000 claims description 16
239000000203 mixtures Substances 0.000 claims description 12
238000007477 logistic regression Methods 0.000 claims description 2
230000000007 visual effect Effects 0.000 description 13
239000003795 chemical substances by application Substances 0.000 description 9
230000003542 behavioural Effects 0.000 description 2
230000001264 neutralization Effects 0.000 description 2
230000002459 sustained Effects 0.000 description 2
238000007476 Maximum Likelihood Methods 0.000 description 1
239000003086 colorants Substances 0.000 description 1
230000003993 interaction Effects 0.000 description 1
230000002123 temporal effects Effects 0.000 description 1
G10L25/00—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
G10L25/48—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use
G10L25/51—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use for comparison or discrimination
G10L25/63—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use for comparison or discrimination for estimating an emotional state
G06F40/30—Semantic analysis
G10L15/183—Speech classification or search using natural language modelling using context dependencies, e.g. language models
G10L15/187—Phonemic context, e.g. pronunciation rules, phonotactical constraints or phoneme n-grams
G10L15/265—
H04M3/50—Centralised arrangements for answering calls; Centralised arrangements for recording messages for absent or busy subscribers ; Centralised arrangements for recording messages
H04M3/53—Centralised arrangements for recording incoming messages, i.e. mailbox systems
H04M3/533—Voice mail systems
H04M3/53333—Message receiving aspects
H04M3/5335—Message type or catagory, e.g. priority, indication
H04M2201/00—Electronic components, circuits, software, systems or apparatus used in telephone systems
H04M2201/60—Medium conversion
Methods and apparatus for processing a voicemail message to generate a textual representation of at least a portion of the voicemail message. At least one emotion expressed in the voicemail message is determined by applying at least one emotion classifier to the voicemail message and/or the textual representation. An indication of the determined at least one emotion is provided in a manner associated with the textual representation of the at least a portion of the voicemail message.
The present application is a continuation of and claims the benefit under 35 U.S.C. § 120 of U.S. patent application Ser. No. 13/773,348, titled "EMOTION DETECTION IN VOICEMAIL," filed Feb. 21, 2013, which is incorporated herein by reference in its entirety.
Voicemail transcription services process audio included in a voicemail message and generate a textual representation of at least a portion of the audio. Following transcription, the textual representation may be sent to a computing device (e.g., a smartphone or tablet computer) for viewing by a user. For example, the textual representation may be sent to a mobile device using a web-based email service as an email message including the textual representation, using a SMS text-messaging system as an SMS text message, or using another text-based service available on the mobile device.
One embodiment is directed to a method for use with a voicemail transcription system that processes a voicemail message and generates a textual representation of at least a portion of the voicemail message, the method comprising: determining at least one emotion expressed in the voicemail message, wherein the determining comprises applying at least one emotion classifier to the voicemail message; and providing an indication of the determined at least one emotion in a manner associated with the textual representation of the at least a portion of the voicemail message.
Another embodiment is directed to a computer-readable storage medium encoded with a plurality of instructions that, when executed by at least one processor, perform a method for use with a voicemail transcription system that processes a voicemail message and generates a textual representation of at least a portion of the voicemail message, the method comprising: determining at least one emotion expressed in the voicemail message, wherein the determining comprises applying at least one emotion classifier to the voicemail message; and providing an indication of the determined at least one emotion in a manner associated with the textual representation of the at least a portion of the voicemail message.
Another embodiment is directed to a computer system for use with a voicemail transcription system that processes a voicemail message and generates a textual representation of at least a portion of the voicemail message. The computer system comprises at least one storage device configured to store at least one emotion classifier for determining at least one emotion expressed in the voicemail message; and at least one processor programmed to: determine the at least one emotion, wherein the determining comprises applying the at least one emotion classifier to the voicemail message; and provide an indication of the determined at least one emotion in a manner associated with the textual representation of the at least a portion of the voicemail message.
It should be appreciated that all combinations of the foregoing concepts and additional concepts discussed in greater detail below (provided that such concepts are not mutually inconsistent) are contemplated as being part of the inventive subject matter disclosed herein.
BRIEF DESCRIPTION OF DRAWINGS
The accompanying drawings are not intended to be drawn to scale. In the drawings, each identical or nearly identical component that is illustrated in various figures is represented by a like numeral. For purposes of clarity, not every component may be labeled in every drawing. In the drawings:
FIG. 1 is an illustrative voicemail message transcription system which may be used in accordance with some embodiments of the invention;
FIG. 2 is a flow chart of an illustrative process for providing an indication of emotion(s) expressed in a voicemail message to a user in accordance with some embodiments of the invention;
FIGS. 3A and 3B are illustrative portions of a user interface providing a visual indication of emotion information determined for voicemail messages in accordance with some embodiments of the invention;
FIG. 4 is an illustrative portion of a user interface providing an alternate type of visual indication of emotion information determined for voicemail messages in accordance with some embodiments of the invention;
FIG. 5 is an illustrative portion of a user interface for providing another alternate type of visual indication of emotion information determined for voicemail messages in accordance with some embodiments of the invention; and
FIG. 6 is an exemplary computer system on which some embodiments of the invention may be implemented.
The inventors have recognized and appreciated that the audio expressed in voicemail messages often includes emotion information that is lost during the voicemail transcription process when the audio is converted, at least in part, to a textual representation. Detection and subsequent presentation of emotion information expressed in a voicemail message may facilitate a richer user experience for users that receive textual representations generated by a voicemail message transcription service. For example, a voicemail message associated with a happy, pleasant, or content emotion may be categorized and presented to a user in a different manner than a voicemail message associated with an unhappy or displeased emotion, and both may be presented differently from a voicemail message associated with neutral emotion. By categorizing voicemail messages based, at least in part, on one or more emotions, a user is provided with additional information that may enhance the user experience. For example, such information may help the user decide whether, and in what order, to review and respond to received messages, or the information may be used by the user in any other desired way. To this end, some embodiments are directed to methods and apparatus that determine one or more emotions expressed in a voicemail message and provide an indication of the determined emotion information in a manner that is associated with a textual representation of at least a portion of voicemail message.
FIG. 1 shows an illustrative voice transcription system that may be used in accordance with some embodiments of the invention. System 100 includes client device 110 and voicemail transcription server 160 connected to client device 110 via network 120. Client device 110 includes input interface 112 configured to receive user input. The input interface may take any form as the aspects of the invention are not limited in this respect. In some embodiments, input interface 112 may include multiple input interfaces each configured to receive one or more types of user input. For example, input interface 112 may include a keyboard (e.g., a QWERTY keyboard), a keypad, a touch-sensitive screen, or any other suitable user input device. As another example, input interface may include a microphone that, when activated, receives speech input and performs automatic speech recognition (ASR) either locally on the client device, remotely (e.g., on a server), or both. The received speech input may be stored in local storage 116 associated with client device 110 to facilitate the ASR processing. Although local storage 116 is illustrated as being external to client device 110, it should be appreciated that local storage 116 may alternatively or additionally be provided internal to client device 110.
Client device 110 also includes one or more output devices including display 114 and at least one speaker (not shown) configured to produce audio output. Applications executing on client device 110 may be programmed to display a user interface to facilitate the performance of one or more actions associated with the application. In one example described herein, the application receives a textual representation of at least a portion of a voicemail message from a voicemail transcription service and displays the textual representation on display 114.
Client device 110 also includes one or more processors 118 programmed to execute a plurality of instructions to perform one or more functions on client device 110. Exemplary functions include, but are not limited to, facilitating the storage of user input, launching one or more applications on client device 110, and displaying information on display 114.
Client device 110 also includes network interface 122 configured to enable client device 110 to communicate with one or more computers (including voicemail transcription server 160) via network 120. For example, network interface 122 may be configured to receive a textual representation of at least a portion of a voicemail message from voicemail transcription server 160, as discussed in further detail below. Network 120 may be implemented in any suitable way using any suitable communication channel(s) enabling communication between the client device and the one or more computers. For example, network 120 may include, but is not limited to, a local area network, an Intranet, the Internet, or any suitable combination of local and wide area networks. Additionally, network interface 122 may be configured to support any of the one or more types of networks that enable communication with the one or more computers.
In some embodiments, voicemail transcription server 160 is configured to process audio associated with voicemail messages to produce a textual representation of at least a portion of the voicemail messages using recognition engine 162. Voicemail messages for use with some embodiments may be received and/or stored by any suitable electronic device or computer. Non-limiting examples of voicemail messages that may be processed in accordance with the techniques described herein include voicemail messages received by a mobile device, voicemail messages stored by an email server, voicemail messages stored by a voicemail system, or voicemail messages received and/or stored by any other suitable type of device.
Voicemail transcription server 160 includes one or more processors 164 that control the operation of the server to perform one or more tasks including, but not limited to, speech recognition and, in some embodiments, emotion detection. In some embodiments, the processes of speech recognition and emotion detection may be performed by the same computer (e.g., voicemail transcription server 160). However the aspects of the invention are not limited in this respect, as these processes may be performed by different computers. In this respect, the emotion detection can be provided as part of a same service or system as the transcription, or it may be provided separately therefrom by a same software vendor or service provider that provides the voicemail transcription or by a different software vendor or service provider.
Recognition engine 162 is configured to process audio including speech associated with a voicemail message using any suitable speech recognition techniques to determine a textual representation of at least a portion of the voicemail message. Recognition engine 162 may implement any type of automatic speech recognition to process voicemail messages, as the techniques described herein are not limited by the particular automatic speech recognition process used. As a non-limiting example, speech recognition engine 162 may employ acoustic and language models to map speech data to a textual representation. These models may be speaker independent, or one or both of the models may be associated with a particular speaker.
In the embodiment shown in FIG. 1, voicemail transcription server 160 also includes emotion detection engine 168 configured to determine one or more emotions expressed in voicemail messages transcribed by voicemail transcription server 160. In other embodiments, emotion detection engine 168 may be implemented by one or more computers separate from voicemail transcription server 160 and the aspects of the invention are not limited in this respect. In some embodiments, emotion detection engine 168 may receive as input, audio comprising speech associated with a voicemail message and/or a textual representation of at least a portion of the voicemail message output from recognition engine 162. Emotion detection engine 168 may use one or both of these inputs to determine one or more emotions expressed in the voicemail message, as discussed in further detail below.
Voicemail transcription server 160 may also include network interface 166 configured to transmit the textual representation output from recognition engine 162 and/or the emotion information output from emotion detection engine 168 to client device 110. The network interface may be any suitable interface capable of working with any suitable type of network 120, as the techniques described herein are not limited to use with any particular type of network 120 or network interface 166. In response to receiving the textual representation and the emotion information associated with a voicemail message, client device 110 may provide an indication of this information to a user in any of numerous ways, as discussed in more detail below.
FIG. 2 shows an illustrative process for processing a voicemail message to determine emotion(s) expressed in the voicemail message in accordance with the techniques described herein. In act 210, information associated with a voicemail message is received by an emotion detection engine configured to determine at least one emotion expressed in the voicemail message. The information associated with the voicemail message may include audio comprising speech (e.g., all or part of the voicemail message itself) and/or a transcription of all or a part of the voicemail message. In determining the emotion(s) expressed in the voicemail message, the emotion detection engine may configured to process the audio only, the transcription only, or both the audio and the transcription, as discussed in more detail below.
As discussed above, the emotion detection engine may be implemented in any suitable way using any suitable number of processors. For example, in some embodiments, the emotion detection engine may be implemented as a portion of a voicemail transcription system that processes a voicemail message and generates a transcription (i.e., a textual representation) of at least a portion of the voicemail message. In other embodiments, the emotion detection engine may be implemented on one or more computers separate from, but in communication with, a voicemail transcription system.
After receiving information associated with the voicemail message, the process proceeds to act 212, where the received information is processed by the emotion detection engine to determine one or more emotions expressed in the voicemail message. The emotion(s) expressed in the voicemail message may be determined in any suitable way using any suitable techniques, as some embodiments described herein are not limited by the manner in which the emotion(s) expressed in the voicemail message are determined. In some embodiments, the received voicemail message is processed by applying at least one emotion classifier to the voicemail message to determine the one or more emotions. Illustrative emotion classifiers that may be applied to the voicemail message include, but are not limited to, support vector machines (SVMs), logistic regression classifiers, naïve Bayesian classifiers, Gaussian mixture models (GMMs), and statistical language models (e.g., n-gram models). Emotion classifiers may be based on an analysis of any suitable type of acoustic and/or linguistic information represented in input received by the emotion detection engine. For example, emotion classifiers may be based on features including, but not limited to, acoustic parameters (e.g., pitch, energy, and prosody), and linguistic parameters such as the words included in the message.
In some embodiments, a combination of emotion classifiers may be used, and the combination of emotion classifiers may be selected using any suitable criteria. For example, a selection of a combination of emotion classifiers may be selected for one or more users based, at least in part, on which classifiers have provided accurate classifications for previously classified voicemail messages. It should be appreciated that any suitable number of classifiers may be used (including one classifier), as the techniques described herein are not limited in this respect.
In some embodiments, one or more emotion classifiers used by the emotion detection engine to determine emotion(s) expressed in a voicemail message may be trained based on a corpus of emotion-tagged data to facilitate the determination of emotion(s) expressed in voicemail messages. In one implementation, a corpus of voicemail messages tagged with emotion classifications (e.g., happy/neutral or unhappy/angry) may be used to train an emotion classifier used by the emotion detection engine prior to using the emotion detection engine to determine emotion(s) expressed in voicemail messages in accordance with the techniques described herein. The emotion classifier may be trained using a corpus have any suitable size and/or content, as the techniques described herein are not limited to the use of an emotion classifier that was trained in any particular manner or using any particular type of training corpus.
In embodiments where the emotion detection engine is configured to receive audio as input, the emotion detection engine may analyze the audio to determine acoustic features (e.g., pitch and energy) that can be mapped to different emotions. In other embodiments where the emotion detection engine is configured to receive a transcription corresponding to at least a portion of the voicemail message, the emotion detection engine may analyze the transcription to identify words and/or n-grams associated with particular emotions. In yet further embodiments where the emotion detection engine is configured to receive both audio and a transcription as input, the emotion detection engine may analyze both types of inputs in any suitable way to determine the one or more emotions expressed in the voicemail message. For example, in one implementation, the audio input may be analyzed to determine acoustic features and the transcription may be analyzed to identify words associated with particular emotions. The emotion(s) expressed in the voicemail message may be determined based, at least in part, on a combination of the information extracted from the different inputs. Alternatively, even in embodiments where the emotion detection engine is configured to receive both audio and transcription input, a determination of the emotion information may be based on an analysis of the received audio only, or based on an analysis of the transcription information only, as the techniques described herein are not limited to use of audio messages or textual transcriptions to determine the emotion(s) expressed in the voicemail message.
After the emotion(s) expressed in the voicemail message have been determined, the process of FIG. 2 proceeds to act 214, where an indication of the determined emotion(s) is provided in a manner associated with the textual representation of the voicemail message provided by the voicemail transcription system. The indication of the determined emotion(s) may be provided in any suitable way including, but not limited to, using an audio indication, a tactile indication, or a visual indication. In some embodiments, a combination of different types of indications may be used, as the techniques described herein are not limited in this respect.
For the sake of simplicity, voicemail messages characterized as either expressing a happy emotion and/or an unhappy emotion will be used in the following examples for providing an indication of the determined emotion(s). However, it should be appreciated that any number or type of additional emotions and/or emotions other than happy and unhappy may alternatively be used in accordance with the techniques described herein.
In embodiments that provide the indication of emotion information expressed in a voicemail message using audio output, any suitable type of audio output may be used. For example, when a text-based message is received by a mobile device (e.g., a smartphone), the mobile device may be programmed to output an audio signal to alert the user that the text-based message has been received and is ready for viewing. An example of such an audio output is a ringtone stored by the mobile device and output in response to receiving a text-based message.
In some embodiments, the particular ringtone used to indicate receipt of a textual representation of a voicemail message from a voicemail transcription service may be determined based, at least in part, on one or more emotions determined to be expressed in the voicemail message. For example, a first ringtone may be selected in response to determining that a voicemail message is associated with a happy emotion, and a second ringtone may be selected in response to determining that a voicemail message is associated with an unhappy emotion. In some embodiments, a client device that receives voicemail message transcriptions from a voicemail transcription service may be configured to store preference information establishing preferences for how emotion information is to be conveyed to the user. A user of the client device may interact with a user interface provided by an application on the client device to specify the preference information. In response to receiving a voicemail message transcription and associated emotion information, the client device may access the emotion output preference information to determine an appropriate output (e.g., an appropriate ringtone) based, at least in part, on the preference information.
Although a ringtone is one example of audio output that may be used to provide an indication of a determined emotion expressed in a voicemail message, it should be appreciated that other types of audio output may alternatively be used. For example, in some embodiments, a client device may be programmed to implement a plurality of digital agent personas for interacting with a user of the client device. The digital agent personas may be characterized by different voice profiles, different styles of interaction, or any other suitable differences in audio output. For example, a first digital agent persona may be associated with a female voice profile and a second digital agent persona may be associated with a male voice profile. Different voice personas may also be provided in other ways, such as by using an accent for one or more the agents, using different styles of speech, using different voice talents' voices to represent different personas, etc. In some embodiments, an indication of emotion information expressed in a voicemail message and determined in accordance with the techniques described herein may be provided by selecting a particular digital agent persona to interact with the user based, at least in part, on the determined emotion(s). The selected digital agent persona may be used to interact with the user by providing audio output representative of the determined emotion(s). For example, when it is determined that a voicemail message is associated with a first emotion (e.g., a happy emotion), a first digital agent persona may be selected, whereas when it is determined that a voicemail message is associated with a second emotion (e.g., an unhappy emotion), a second digital persona may be selected. It should be appreciated that any suitable types of digital agent personas may be used in accordance with the techniques described herein.
Some client devices configured to receive transcriptions of voicemail messages may provide an indication of a determined emotion(s) expressed in a voicemail message by using tactile output, such as by using different vibration patterns. For example, in some embodiments, voicemail messages associated with a first type of emotion (e.g., happy) may be associated with a vibration pattern characterized by sustained vibration, whereas voicemail messages associated with a second type of emotion (e.g., unhappy) may be associated with a vibration pattern characterized by a pulsed vibration sequence. It should be appreciated that any types of vibration sequences may be used, as the example of using sustained or pulsed vibration is provided merely for exemplary purposes.
In some embodiments, an electronic device configured to receive a transcription of a voicemail message may display the transcribed voicemail message on a user interface provided by an application executing on the electronic device. For example, text-based SMS messages may be displayed on a user interface provided by a text messaging client application executing on the electronic device. This is merely one example, as the transcribed voice message may be displayed on a client device using any other suitable application executing on the client device, other non-limiting examples of which include, an email client so that the transcribed message is received as an email, a browser, and a custom application designed specifically to support voicemail transcription.
In some embodiments, the textual representation corresponding to the transcription of at least a portion of the voicemail message may be modified, at least in part, to provide an indication of the one or more emotions determined to be expressed in the voicemail message. In other embodiments, the indication of the emotion(s) may be provided as additional information so that the textual representation of the voicemail message is not modified.
In some embodiments, an indication of a determined emotion may be provided using visual output by associating a visual indication for the emotion(s) with the textual representation of the voicemail message and displaying the visual indication of the emotion(s) on a display of the electronic device that receives the voicemail transcription. The visual indication may be provided in any suitable way, as the techniques described below for providing a visual indication of emotion(s) associated with a voicemail message are merely examples.
An illustrative technique for providing a visual indication of an emotion expressed in a voicemail message comprises associating a graphical symbol with the voicemail message based, at least in part, on the determined emotion, and displaying the graphical symbol and an identifier of the voicemail message on a user interface provided by the client device. The identifier may identify the voicemail message in any suitable way (e.g., by identifying the telephone number of the caller who left the message, by displaying all or part of the transcription of the message, or in any other suitable way.)
An example of associating and displaying graphical symbols with identifiers of voicemail messages is illustrated in FIGS. 3A and 3B. In FIG. 3A, the first and second messages are determined to be associated with a happy emotion, while the third message is determined to be associated with an unhappy emotion. A "thumbs up" icon is associated with the first and second messages to identify the happy emotion expressed in these messages, and a "thumbs down" icon is associated with the third message to identify the unhappy emotion expressed in this message. In FIG. 3B, the first and second messages are associated with a "happy face" icon to denote that the emotion expressed in these messages is "happy," and an "unhappy face" icon is associated with the third message to denote that the emotion expressed in this message is "unhappy." Displaying a graphical symbol as a portion of, or in association with, the textual representation or any other identifier of the message, informs the user about the emotion expressed in the voicemail message. The user may use this information in any desired way, e.g., to perform an action, such as prioritizing which voicemail messages to reviews and respond to, based on the displayed emotion information.
FIG. 4 shows another technique for providing a visual indication of an emotion expressed in a voicemail message. Some applications executing on a client device may associate a graphical symbol (e.g., an icon) with each received voicemail message. For example, as shown in FIG. 4, each message is associated with an envelope icon, which informs the user that a voicemail message has been received and transcribed and that the transcription is ready for viewing. Rather than associating an entirely different graphical symbol with voicemail messages, as just discussed with regard to FIG. 3, in the technique shown in FIG. 4, at least one characteristic of a common graphical symbol associated with each message (e.g., an envelope icon) is modified to identify the determined emotion(s) for the voicemail message. For example, the color, size, alignment, shading, or some other characteristic of the common graphical symbol may be modified to provide the indication of the at least one emotion determined to be expressed in the corresponding voicemail message. In the example of FIG. 4, the first and second messages are associated with a happy emotion and this may be represented using a green (unhatched) envelope, whereas the third message having an unhappy emotion expressed therein is associated with a red (hatched) envelope to convey the emotion information to the user. Any characteristic or combination of characteristics of a common graphical symbol may be modified to provide the indication of the emotion information to a user, as the techniques described herein are not limited by the particular manner in which a common graphical symbol is modified.
FIG. 5 illustrates yet another technique for presenting a visual indication of emotion information determined for a voicemail message to a user of a client device. In the example of FIG. 5, one or more characteristics of the identifier of the voicemail message are selected based, at least in part, on the emotion information determined to be expressed in the voicemail message. The first message displayed in the example of FIG. 5 is associated with a happy emotion and based, at least in part, on this determination, the identifier for the first message (e.g., all or part of the voicemail transcription for the first message) may be displayed using a first type of font (e.g., script font). The second message displayed in FIG. 5 may be associated with an unhappy emotion and to convey this emotion information, the identifier of the second message (e.g., all or part of the voicemail transcription for the second message) may be displayed using a second different type of font (e.g., block font).
In the third message of FIG. 5, the emotion detection engine determined that different parts of the message were associated with different emotions. In the embodiments where all or part of the transcription of the message is displayed, these different emotions may be expressed using different display characteristics for parts of the transcription corresponding to the different emotions. In the example shown in FIG. 5, the first part of the voicemail message is associated with a happy emotion, and thus the part of the transcription corresponding to the first part of the message may be displayed using a first type of font (e.g., script font), while a second part of the voicemail message determined to be associated with an unhappy emotion may result in the corresponding part of the transcription being displayed using a second type of font (e.g., block font) that is different than the first type of font.
Although the example of FIG. 5 uses different font types to display the emotion information, it should be appreciated that other visual characteristics may also or alternatively be used to represent emotion information, as the techniques described herein are not limited by the particular way in which various display characteristics are used to identify the emotion information for voicemail messages. For example, rather than (or in addition to) using different font types, emotion may be represented by using different colors of text, font sizes, upper/lowercase letters, underlining, italics, boldface, highlighting, or any other suitable characteristics to represent emotion information in accordance with the techniques described herein. In the example of FIG. 5, an explicit identification of emotion (happy/unhappy) that is not present in the message itself is shown. However, it should be appreciated that any identifier of the voicemail message including all or part of the transcription of the message, or any other suitable identifier, may alternatively be displayed, as the techniques described herein are not limited in this respect.
In some embodiments, emotion information determined for at least a portion of a voicemail message in accordance with the techniques described herein, may be stored, and the stored emotion information may be used in any suitable way. For example, emotion information associated with voicemails for a particular speaker or group of speakers may be tracked over time to identify one or more behavioral patterns. In some embodiments, emotion information tracked over time may represented using one or more charts, graphs, tables, or other illustration to identify the behavioral pattern(s). The stored emotion information may be used in any suitable way including, but not limited to, presenting the information to one or more users, and informing one or more aspects of the emotion detection techniques described herein.
In some embodiments, the stored emotion information may be used to inform emotion detection by creating and/or modifying one or more language models used for emotion detection. For example, transcription segments for a voicemail associated with an emotion may be used to create an emotion-specific language model representative of that particular emotion. Following from the examples described above, in which the emotions happy and unhappy were used, an unhappy language model may be created based, at least in part, on transcription segments associated with an unhappy emotion, and a happy language model may be created based, at least in part, on transcription segments associated with a happy emotion. In some embodiments, as additional voicemails are received and segments of the voicemails are classified, the emotion-specific language models may be updated based on the additional classified transcription segments. The emotion-specific language models may be used in any suitable way including, but not limited to, facilitating an emotion classification decision of an unclassified textual representation of at least a portion of a voicemail, in accordance with the techniques described herein. For example, the emotion-specific language models may be used, at least in part, to determine an emotion for a transcription segment of a voicemail using one or more statistical techniques (e.g., maximum likelihood). Any suitable statistical techniques may be used to facilitate an emotion-classification decision, as the techniques described herein are not limited in this respect.
An illustrative implementation of a computer system 600 that may be used in connection with any of the embodiments of the invention described herein is shown in FIG. 6. The computer system 600 may include one or more processors 610 and one or more computer-readable tangible non-transitory storage media (e.g., memory 620, one or more non-volatile storage media 630, or any other suitable storage device). The processor 610 may control writing data to and reading data from the memory 620 and the non-volatile storage device 630 in any suitable manner, as the aspects of the present invention described herein are not limited in this respect. To perform any of the functionality described herein, the processor 610 may execute one or more instructions stored in one or more computer-readable storage media (e.g., the memory 620), which may serve as tangible non-transitory computer-readable storage media storing instructions for execution by the processor 610.
The above-described embodiments of the present invention can be implemented in any of numerous ways. For example, the embodiments may be implemented using hardware, software or a combination thereof. When implemented in software, the software code can be executed on any suitable processor or collection of processors, whether provided in a single computer or distributed among multiple computers. It should be appreciated that any component or collection of components that perform the functions described above can be generically considered as one or more controllers that control the above-discussed functions. The one or more controllers can be implemented in numerous ways, such as with dedicated hardware, or with general purpose hardware (e.g., one or more processors) that is programmed using microcode or software to perform the functions recited above.
In this respect, it should be appreciated that one implementation of the embodiments of the present invention comprises at least one non-transitory computer-readable storage medium (e.g., a computer memory, a USB drive, a flash memory, a compact disk, a tape, etc.) encoded with a computer program (i.e., a plurality of instructions), which, when executed on a processor, performs the above-discussed functions of the embodiments of the present invention. The computer-readable storage medium can be transportable such that the program stored thereon can be loaded onto any computer resource to implement the aspects of the present invention discussed herein. In addition, it should be appreciated that the reference to a computer program which, when executed, performs the above-discussed functions, is not limited to an application program running on a host computer. Rather, the term computer program is used herein in a generic sense to reference any type of computer code (e.g., software or microcode) that can be employed to program a processor to implement the above-discussed aspects of the present invention.
Various aspects of the present invention may be used alone, in combination, or in a variety of arrangements not specifically discussed in the embodiments described in the foregoing and are therefore not limited in their application to the details and arrangement of components set forth in the foregoing description or illustrated in the drawings. For example, aspects described in one embodiment may be combined in any manner with aspects described in other embodiments.
Also, embodiments of the invention may be implemented as one or more methods, of which an example has been provided. The acts performed as part of the method(s) may be ordered in any suitable way. Accordingly, embodiments may be constructed in which acts are performed in an order different than illustrated, which may include performing some acts simultaneously, even though shown as sequential acts in illustrative embodiments.
Use of ordinal terms such as "first," "second," "third," etc., in the claims to modify a claim element does not by itself connote any priority, precedence, or order of one claim element over another or the temporal order in which acts of a method are performed. Such terms are used merely as labels to distinguish one claim element having a certain name from another element having a same name (but for use of the ordinal term).
The phraseology and terminology used herein is for the purpose of description and should not be regarded as limiting. The use of "including," "comprising," "having," "containing", "involving", and variations thereof, is meant to encompass the items listed thereafter and additional items.
Having described several embodiments of the invention in detail, various modifications and improvements will readily occur to those skilled in the art. Such modifications and improvements are intended to be within the spirit and scope of the invention. Accordingly, the foregoing description is by way of example only, and is not intended as limiting. The invention is limited only as defined by the following claims and the equivalents thereto.
1. A method for use with a voicemail transcription system that processes a voicemail message and generates a textual representation of at least a portion of the voicemail message, the method comprising:
determining based, at least in part, on the textual representation of the at least a portion of the voicemail message, at least one emotion expressed in the voicemail message, wherein the determining comprises applying at least one emotion classifier to the textual representation of the at least a portion of the voicemail message;
storing preference information for a user of a client device configured to receive voicemail transcriptions, wherein the preference information describes preferences for how the user of the client device wants emotion information associated with the received voicemail transcriptions to be conveyed to the user on the client device; and
providing on the client device, in accordance with the stored preference information, an indication of the determined at least one emotion prior to displaying the textual representation of the at least a portion of the voicemail message on the client device, wherein providing the indication of the determined at least one emotion comprises selecting a particular agent persona to communicate with the user of the client device, wherein the particular agent persona has a particular voice characteristic that is used to convey the at least one emotion to the user of the client device.
2. The method of claim 1, wherein the determining the at least one emotion further comprises determining the at least one emotion based, at least in part, on an analysis of audio of the voicemail message.
3. The method of claim 1, wherein the providing the indication of the determined at least one emotion further comprises:
selecting at least one audio output based, at least in part, on the determined at least one emotion; and
associating the at least one audio output with the textual representation of the at least a portion of the voicemail message.
4. The method of claim 1, wherein providing an indication of the determined at least one emotion further comprises displaying on the client device at least one graphical symbol representing the determined at least one emotion with a truncated version of the textual representation.
5. The method of claim 4, wherein the at least one graphical symbol comprises an icon separated from but associated with the truncated version of the textual representation.
6. The method of claim 5, wherein providing the indication of the determined at least one emotion further comprises displaying the icon in a particular color, wherein the particular color is determined based, at least in part, on the determined at least one emotion.
7. The method of claim 1, wherein the voice characteristic is selected from the group consisting of a gender of the agent persona, an accent of the agent persona, a voice profile for the agent persona, and a voice talent for the agent persona.
8. A non-transitory computer-readable storage medium encoded with a plurality of instructions that, when executed by at least one processor, perform a method for use with a voicemail transcription system that processes a voicemail message and generates a textual representation of at least a portion of the voicemail message, the method comprising:
9. The non-transitory computer-readable storage medium of claim 8, wherein the determining the at least one emotion further comprises determining the at least one emotion based, at least in part, on an analysis of audio of the voicemail message.
10. The non-transitory computer-readable storage medium of claim 8, wherein determining based, at least in part, on the textual representation of the at least a portion of the voicemail message, at least one emotion expressed in the voicemail message comprises comparing at least one word in the textual representation to a collection of stored words and/or n-grams associated with one or more emotions.
11. The non-transitory computer-readable storage medium of claim 8, wherein the at least one emotion classifier is selected from a group consisting of: support vector machines (SVMs), a logistic regression classifier, a Naïve Bayesian classifier, a Gaussian mixture model (GMM), and a statistical language model.
12. The non-transitory computer-readable storage medium of claim 8, wherein the providing the indication of the determined at least one emotion further comprises:
13. The non-transitory computer-readable storage medium of claim 8, wherein providing an indication of the determined at least one emotion further comprises displaying on the client device at least one graphical symbol representing the determined at least one emotion with a truncated version of the textual representation.
14. The non-transitory computer-readable storage medium of claim 13, wherein the at least one graphical symbol comprises an icon separated from but associated with the truncated version of the textual representation.
15. The non-transitory computer-readable storage medium of claim 14, wherein providing the indication of the determined at least one emotion further comprises displaying the icon in a particular color, wherein the particular color is determined based, at least in part, on the determined at least one emotion.
16. A computer system for use with a voicemail transcription system that processes a voicemail message and generates a textual representation of at least a portion of the voicemail message, the computer system comprising:
at least one storage device configured to store:
at least one emotion classifier for determining at least one emotion expressed in the voicemail message; and
preference information for a user of a client device configured to receive voicemail transcriptions from the voicemail transcription system, wherein the preference information describes preferences for how the user of the client device wants emotion information associated with the received voicemail transcriptions to be conveyed to the user on the client device; and
at least one processor programmed to:
determine the at least one emotion, wherein the determining comprises applying the at least one emotion classifier to the textual representation of at least a portion of the voicemail message; and
provide on the client device, in accordance with the stored preference information, an indication of the determined at least one emotion prior to displaying the textual representation of the at least a portion of the voicemail message on the client device, wherein providing the indication of the determined at least one emotion comprises selecting a particular agent persona to communicate with the user of the client device, wherein the particular agent persona has a particular voice characteristic that is used to convey the at least one emotion to the user of the client device.
17. The computer system of claim 16, wherein the determining the at least one emotion further comprises determining the at least one emotion based, at least in part, on an analysis of audio of the voicemail message.
18. The computer system of claim 16, wherein the providing the indication of the determined at least one emotion further comprises:
19. The computer system of claim 16, wherein providing an indication of the determined at least one emotion further comprises displaying on the client device at least one graphical symbol representing the determined at least one emotion with a truncated version of the textual representation.
20. The computer system of claim 19, wherein the at least one graphical symbol comprises an icon having a particular color determined based, at least in part, on the determined at least one emotion.
US15/399,193 2013-02-21 2017-01-05 Emotion detection in voicemail Active US10056095B2 (en)
US13/773,348 US9569424B2 (en) 2013-02-21 2013-02-21 Emotion detection in voicemail
US15/399,193 US10056095B2 (en) 2013-02-21 2017-01-05 Emotion detection in voicemail
US13/773,348 Continuation US9569424B2 (en) 2013-02-21 2013-02-21 Emotion detection in voicemail
US10056095B2 true US10056095B2 (en) 2018-08-21
US13/773,348 Active 2034-01-10 US9569424B2 (en) 2013-02-21 2013-02-21 Emotion detection in voicemail
US15/399,193 Active US10056095B2 (en) 2013-02-21 2017-01-05 Emotion detection in voicemail
Family Applications Before (1)
EP2608189A1 (en) * 2011-12-21 2013-06-26 Thomson Licensing Braille display system and method for operating a refreshable Braille display
WO2014116262A1 (en) * 2013-01-28 2014-07-31 Empire Technology Development Llc Communication using handwritten input
US9569424B2 (en) * 2013-02-21 2017-02-14 Nuance Communications, Inc. Emotion detection in voicemail
US20140303982A1 (en) * 2013-04-09 2014-10-09 Yally Inc. Phonetic conversation method and device using wired and wiress communication
CN103369477B (en) * 2013-07-02 2016-12-07 华为技术有限公司 Display media method, device, client, graphical control display packing and device
KR102191306B1 (en) * 2014-01-22 2020-12-15 삼성전자주식회사 System and method for recognition of voice emotion
US9363378B1 (en) * 2014-03-19 2016-06-07 Noble Systems Corporation Processing stored voice messages to identify non-semantic message characteristics
US9577963B2 (en) * 2014-03-21 2017-02-21 Stefan Dowdell Application for augmenting a message with emotional content
US9628603B2 (en) * 2014-07-23 2017-04-18 Lenovo (Singapore) Pte. Ltd. Voice mail transcription
US9538000B1 (en) 2015-06-24 2017-01-03 Mast Mobile, Inc. Incoming call management in a communication environment with unified communication interfaces
US9665567B2 (en) * 2015-09-21 2017-05-30 International Business Machines Corporation Suggesting emoji characters based on current contextual emotional state of user
US20180018985A1 (en) * 2016-07-16 2018-01-18 Ron Zass System and method for detecting repetitive speech
US10043519B2 (en) * 2016-09-02 2018-08-07 Tim Schlippe Generation of text from an audio speech signal
US20180109482A1 (en) * 2016-10-14 2018-04-19 International Business Machines Corporation Biometric-based sentiment management in a social networking environment
US20190267028A1 (en) * 2016-10-27 2019-08-29 Sony Corporation Information processing apparatus and information processing method
KR20180074152A (en) * 2016-12-23 2018-07-03 삼성전자주식회사 Security enhanced speech recognition method and apparatus
US10529116B2 (en) 2018-05-22 2020-01-07 International Business Machines Corporation Dynamically transforming a typing indicator to reflect a user's tone
US6064383A (en) * 1996-10-04 2000-05-16 Microsoft Corporation Method and system for selecting an emotional appearance and prosody for a graphical character
US6263202B1 (en) * 1998-01-28 2001-07-17 Uniden Corporation Communication system and wireless communication terminal device used therein
US20020002460A1 (en) * 1999-08-31 2002-01-03 Valery Pertrushin System method and article of manufacture for a voice messaging expert system that organizes voice messages based on detected emotions
US20020194002A1 (en) * 1999-08-31 2002-12-19 Accenture Llp Detecting emotions using voice signal analysis
US20030023444A1 (en) * 1999-08-31 2003-01-30 Vicki St. John A voice recognition system for navigating on the internet
US6539354B1 (en) * 2000-03-24 2003-03-25 Fluent Speech Technologies, Inc. Methods and devices for producing and using synthetic visual speech based on natural coarticulation
US20030177008A1 (en) * 2002-03-15 2003-09-18 Chang Eric I-Chao Voice message processing system and method
US20050027525A1 (en) * 2003-07-29 2005-02-03 Fuji Photo Film Co., Ltd. Cell phone having an information-converting function
US20050108775A1 (en) * 2003-11-05 2005-05-19 Nice System Ltd Apparatus and method for event-driven content analysis
US20050159939A1 (en) * 2004-01-16 2005-07-21 Gregor Mohler System and method for the dynamic display of text
US20050244798A1 (en) * 2004-04-30 2005-11-03 Christine Zernzach Method for improving the emotional quotient in infants and children
US6975988B1 (en) * 2000-11-10 2005-12-13 Adam Roth Electronic mail method and system using associated audio and visual techniques
US20060234680A1 (en) * 2003-04-22 2006-10-19 Spinvox Limited Method of managing voicemails from a mobile telephone
US20070037590A1 (en) * 2005-08-12 2007-02-15 Samsung Electronics Co., Ltd. Method and apparatus for providing background effect to message in mobile communication terminal
US20070054678A1 (en) * 2004-04-22 2007-03-08 Spinvox Limited Method of generating a sms or mms text message for receipt by a wireless information device
US20080027984A1 (en) * 2006-07-31 2008-01-31 Motorola, Inc. Method and system for multi-dimensional action capture
US20080059158A1 (en) * 2004-09-10 2008-03-06 Matsushita Electric Industrial Co., Ltd. Information Processing Terminal
US20080056470A1 (en) * 2006-08-10 2008-03-06 Inventec Corporation Mail-editing system and method
US20080255850A1 (en) * 2007-04-12 2008-10-16 Cross Charles W Providing Expressive User Interaction With A Multimodal Application
US20100085416A1 (en) * 2008-10-06 2010-04-08 Microsoft Corporation Multi-Device Capture and Spatial Browsing of Conferences
US20100105426A1 (en) * 2008-10-24 2010-04-29 International Buisness Machines Corporation Embedded Biometrics in Telecommunication Devices for Feature Extraction and Context Identification
US20100158213A1 (en) * 2008-12-19 2010-06-24 At&T Mobile Ii, Llc Sysetms and Methods for Intelligent Call Transcription
US20100246799A1 (en) * 2009-03-31 2010-09-30 Nice Systems Ltd. Methods and apparatus for deep interaction analysis
US20110010173A1 (en) * 2009-07-13 2011-01-13 Mark Scott System for Analyzing Interactions and Reporting Analytic Results to Human-Operated and System Interfaces in Real Time
US20110087483A1 (en) * 2009-10-09 2011-04-14 Institute For Information Industry Emotion analyzing method, emotion analyzing system, computer readable and writable recording medium and emotion analyzing device
US20110179003A1 (en) * 2010-01-21 2011-07-21 Korea Advanced Institute Of Science And Technology System for Sharing Emotion Data and Method of Sharing Emotion Data Using the Same
US20110200181A1 (en) * 2010-02-15 2011-08-18 Oto Technologies, Llc System and method for automatic distribution of conversation topics
US20110208522A1 (en) * 2010-02-21 2011-08-25 Nice Systems Ltd. Method and apparatus for detection of sentiment in automated transcriptions
US20110295607A1 (en) * 2010-05-31 2011-12-01 Akash Krishnan System and Method for Recognizing Emotional State from a Speech Signal
WO2012001889A1 (en) 2010-06-28 2012-01-05 国立大学法人東北大学 Cell capable of expressing tslp constantly and at high level, and method for screening for tslp modulator utilizing the cell
US8170872B2 (en) * 2007-12-04 2012-05-01 International Business Machines Corporation Incorporating user emotion in a chat transcript
US20120179751A1 (en) * 2011-01-06 2012-07-12 International Business Machines Corporation Computer system and method for sentiment-based recommendations of discussion topics in social media
US20130060875A1 (en) * 2011-09-02 2013-03-07 William R. Burnett Method for generating and using a video-based icon in a multimedia message
US20130262109A1 (en) * 2012-03-14 2013-10-03 Kabushiki Kaisha Toshiba Text to speech method and system
US20130268611A1 (en) * 2010-12-13 2013-10-10 Samsung Electronics Co. Ltd Method for sending an enhanced visual voice mail and an apparatus therefor
US20130297297A1 (en) * 2012-05-07 2013-11-07 Erhan Guven System and method for classification of emotion in human speech
US20140052441A1 (en) * 2011-04-26 2014-02-20 Nec Casio Mobile Communications, Ltd. Input auxiliary apparatus, input auxiliary method, and program
US20140112457A1 (en) * 2012-10-23 2014-04-24 Bo Xing Method and system to provide priority indicating calls
US20140112556A1 (en) * 2012-10-19 2014-04-24 Sony Computer Entertainment Inc. Multi-modal sensor based emotion recognition and emotional interface
US20140192229A1 (en) * 2013-01-04 2014-07-10 Samsung Electronics Co., Ltd. Apparatus and method for providing user's emotional information in electronic device
US20140212007A1 (en) * 2013-01-28 2014-07-31 Empire Technology Development Llc Communication using handwritten input
US20140223462A1 (en) * 2012-12-04 2014-08-07 Christopher Allen Aimone System and method for enhancing content using brain-state data
US20140229175A1 (en) * 2013-02-13 2014-08-14 Bayerische Motoren Werke Aktiengesellschaft Voice-Interfaced In-Vehicle Assistance
US20140236596A1 (en) * 2013-02-21 2014-08-21 Nuance Communications, Inc. Emotion detection in voicemail
US8996373B2 (en) * 2010-12-27 2015-03-31 Fujitsu Limited State detection device and state detecting method
US9015046B2 (en) * 2010-06-10 2015-04-21 Nice-Systems Ltd. Methods and apparatus for real-time interaction analysis in call centers
Chuang et al., Multi-Modal Emotion Recognition from Speech and Text. Computational Linguistics and Chinese Language Processing. 2004;9(2):45-65.
Inanoglu et al., Emotive Alert: HMM-Based Emotion Detection in Voicemail Messages. MIT Media Lab Technical Report No. 585, Jan. 2005. Appeared in: Intelligent user Interfaces (IUI 05), 2005;1-3.
U.S. Appl. No. 13/773,348, filed Feb. 21, 2013, Martinez.
US20190139538A1 (en) 2019-05-09 Parameter collection and automatic dialog generation in dialog systems
AU2015100705A4 (en) 2015-06-25 Canned answers in messages
US9847084B2 (en) 2017-12-19 Personality-based chatbot and methods
US20190095050A1 (en) 2019-03-28 Application Gateway for Providing Different User Interfaces for Limited Distraction and Non-Limited Distraction Contexts
CN106687889B (en) 2020-03-06 Display portable text entry and editing
US9911418B2 (en) 2018-03-06 Systems and methods for speech command processing
KR102168823B1 (en) 2020-10-22 Displaying customized electronic messaging graphics
TWI566107B (en) 2017-01-11 Method for processing a multi-part voice command, non-transitory computer readable storage medium and electronic device
AU2014281049B9 (en) 2019-05-23 Environmentally aware dialog policies and response generation
US9716680B2 (en) 2017-07-25 Expandable graphical icon for response to electronic text transmission
KR101703911B1 (en) 2017-02-07 Visual confirmation for a recognized voice-initiated action
AU2016253602B2 (en) 2018-11-29 Systems and methods for identifying and suggesting emoticons
JP6569009B2 (en) 2019-08-28 Judgment of conversational state about language model
US10354677B2 (en) 2019-07-16 System and method for identification of intent segment(s) in caller-agent conversations
US10564824B1 (en) 2020-02-18 Initiating communications based on interactions with images
US10847139B1 (en) 2020-11-24 Crowd sourced based training for natural language interface systems
US9502032B2 (en) 2016-11-22 Dynamically biasing language models
EP3369219B1 (en) 2020-09-02 Predictive responses to incoming communications
EP2557509B1 (en) 2019-04-10 Text enhancement system
EP3321928A1 (en) 2018-05-16 Reducing the need for manual start/end-pointing and trigger phrases
WO2016045465A1 (en) 2016-03-31 Information presentation method based on input and input method system
EP2724558B1 (en) 2017-11-01 Systems and methods to present voice message information to a user of a computing device
US9460083B2 (en) 2016-10-04 Interactive dashboard based on real-time sentiment analysis for synchronous communication
US20160147725A1 (en) 2016-05-26 Entity based content selection
Owner name: NUANCE COMMUNICATIONS, INC., MASSACHUSETTS
Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNOR:MARTINEZ, RAQUEL;REEL/FRAME:042693/0238