espnet audio automatic-speech-recognition en dataset:fsc_challenge arxiv:1804.00015 license:cc-by-4.0 region:us
---
datasets:
- fsc_challenge
language: en
license: cc-by-4.0
tags:
- espnet
- audio
- automatic-speech-recognition
---

## ESPnet2 ASR model 

### `espnet/fsc_challenge_slu_2pass_conformer`

This model was trained by Siddhant using fsc_challenge recipe in [espnet](https://github.com/espnet/espnet/).

### Demo: How to use in ESPnet2

Follow the [ESPnet installation instructions](https://espnet.github.io/espnet/installation.html)
if you haven't done that already.

```bash
cd espnet
git checkout 3b54bfe52a294cdfce668c20d777bfa65f413745
pip install -e .
cd egs2/fsc_challenge/slu1
./run.sh --skip_data_prep false --skip_train true --download_model espnet/fsc_challenge_slu_2pass_conformer
```

<!-- Generated by scripts/utils/show_asr_result.sh -->
# RESULTS
## Environments
- date: `Wed Jan 19 10:05:40 EST 2022`
- python version: `3.8.11 (default, Aug  3 2021, 15:09:35)  [GCC 7.5.0]`
- espnet version: `espnet 0.10.3a3`
- pytorch version: `pytorch 1.9.0+cu102`
- Git hash: `97b9dad4dbca71702cb7928a126ec45d96414a3f`
  - Commit date: `Mon Sep 13 22:55:04 2021 +0900`

## asr_train_asr_hubert_transformer_adam_specaug_deliberation_raw_en_word
### WER

|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
|---|---|---|---|---|---|---|---|---|
|inference_asr_model_valid.acc.ave_5best/spk_test|3349|17937|97.1|1.2|1.7|0.4|3.3|7.1|
|inference_asr_model_valid.acc.ave_5best/utt_test|4204|22540|80.5|12.4|7.0|3.0|22.5|55.2|
|inference_asr_model_valid.acc.ave_5best/valid|2597|13782|97.5|1.0|1.6|0.2|2.7|5.5|

### CER

|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
|---|---|---|---|---|---|---|---|---|
|inference_asr_model_valid.acc.ave_5best/spk_test|3349|152191|98.4|0.5|1.1|0.2|1.8|7.1|
|inference_asr_model_valid.acc.ave_5best/utt_test|4204|191435|89.3|5.4|5.3|2.7|13.4|55.2|
|inference_asr_model_valid.acc.ave_5best/valid|2597|117282|98.6|0.4|1.0|0.2|1.6|5.5|

### TER

|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
|---|---|---|---|---|---|---|---|---|

## ASR config

<details><summary>expand</summary>

```
config: conf/tuning/train_asr_hubert_transformer_adam_specaug_deliberation.yaml
print_config: false
log_level: INFO
dry_run: false
iterator_type: sequence
output_dir: exp/asr_train_asr_hubert_transformer_adam_specaug_deliberation_raw_en_word
ngpu: 1
seed: 0
num_workers: 1
num_att_plot: 3
dist_backend: nccl
dist_init_method: env://
dist_world_size: null
dist_rank: null
local_rank: 0
dist_master_addr: null
dist_master_port: null
dist_launcher: null
multiprocessing_distributed: false
unused_parameters: false
sharded_ddp: false
cudnn_enabled: true
cudnn_benchmark: false
cudnn_deterministic: true
collect_stats: false
write_collected_feats: false
max_epoch: 80
patience: null
val_scheduler_criterion:
- valid
- loss
early_stopping_criterion:
- valid
- loss
- min
best_model_criterion:
-   - train
    - loss
    - min
-   - valid
    - loss
    - min
-   - train
    - acc
    - max
-   - valid
    - acc
    - max
keep_nbest_models: 5
grad_clip: 5.0
grad_clip_type: 2.0
grad_noise: false
accum_grad: 1
no_forward_run: false
resume: true
train_dtype: float32
use_amp: false
log_interval: null
use_tensorboard: true
use_wandb: false
wandb_project: null
wandb_id: null
wandb_entity: null
wandb_name: null
wandb_model_log_interval: -1
detect_anomaly: false
pretrain_path: null
init_param:
- ../../fsc_challenge/asr1/exp/asr_train_asr_hubert_transformer_adam_specaug_raw_en_word/valid.acc.ave_5best.pth:encoder:encoder
ignore_init_mismatch: false
freeze_param:
- encoder
- postdecoder.model
- frontend.upstream
num_iters_per_epoch: null
batch_size: 20
valid_batch_size: null
batch_bins: 1000000
valid_batch_bins: null
train_shape_file:
- exp/asr_stats_raw_en_word/train/speech_shape
- exp/asr_stats_raw_en_word/train/text_shape.word
- exp/asr_stats_raw_en_word/train/transcript_shape.word
valid_shape_file:
- exp/asr_stats_raw_en_word/valid/speech_shape
- exp/asr_stats_raw_en_word/valid/text_shape.word
- exp/asr_stats_raw_en_word/valid/transcript_shape.word
batch_type: folded
valid_batch_type: null
fold_length:
- 80000
- 150
- 150
sort_in_batch: descending
sort_batch: descending
multiple_iterator: false
chunk_length: 500
chunk_shift_ratio: 0.5
num_cache_chunks: 1024
train_data_path_and_name_and_type:
-   - dump/raw/train/wav.scp
    - speech
    - sound
-   - dump/raw/train/text
    - text
    - text
-   - dump/raw/train/transcript
    - transcript
    - text
valid_data_path_and_name_and_type:
-   - dump/raw/valid/wav.scp
    - speech
    - sound
-   - dump/raw/valid/text
    - text
    - text
-   - dump/raw/valid/transcript
    - transcript
    - text
allow_variable_data_keys: false
max_cache_size: 0.0
max_cache_fd: 32
valid_max_cache_size: null
optim: adam
optim_conf:
    lr: 0.0002
scheduler: warmuplr
scheduler_conf:
    warmup_steps: 25000
token_list:
- <blank>
- <unk>
- the
- turn
- lights
- in
- up
- 'on'
- down
- temperature
- heat
- switch
- kitchen
- volume
- 'off'
- increase_volume_none
- bedroom
- washroom
- decrease_volume_none
- language
- bathroom
- decrease
- my
- to
- increase
- decrease_heat_washroom
- increase_heat_washroom
- music
- heating
- bring
- increase_heat_none
- too
- decrease_heat_none
- me
- change_language_none_none
- activate_lights_washroom
- set
- activate_lights_kitchen
- activate_music_none
- lamp
- deactivate_music_none
- increase_heat_bedroom
- i
- increase_heat_kitchen
- sound
- get
- decrease_heat_kitchen
- loud
- activate_lights_bedroom
- deactivate_lights_bedroom
- decrease_heat_bedroom
- need
- deactivate_lights_kitchen
- bring_newspaper_none
- newspaper
- bring_shoes_none
- shoes
- bring_socks_none
- socks
- activate_lights_none
- deactivate_lights_none
- louder
- go
- deactivate_lights_washroom
- change_language_Chinese_none
- chinese
- could
- you
- bring_juice_none
- juice
- deactivate_lamp_none
- make
- activate_lamp_none
- it
- stop
- play
- change
- quiet
- change_language_Korean_none
- korean
- some
- practice
- change_language_German_none
- german
- ok
- now
- main
- change_language_English_none
- english
- its
- hear
- pause
- this
- thats
- lower
- far
- audio
- please
- fetch
- phones
- a
- different
- start
- resume
- softer
- couldnt
- anything
- quieter
- put
- video
- is
- low
- max
- phone
- mute
- reduce
- use
- languages
- allow
- device
- system
- <sos/eos>
transcript_token_list:
- <blank>
- <unk>
- the
- turn
- in
- lights
- up
- down
- 'on'
- temperature
- heat
- kitchen
- switch
- 'off'
- volume
- bedroom
- language
- to
- washroom
- bathroom
- my
- increase
- decrease
- music
- heating
- bring
- me
- too
- i
- set
- sound
- get
- and
- lamp
- loud
- a
- need
- you
- shoes
- socks
- newspaper
- it
- light
- louder
- chinese
- could
- go
- make
- juice
- some
- main
- stop
- change
- quiet
- practice
- english
- german
- now
- play
- korean
- okay
- it's
- room
- that's
- of
- hear
- is
- different
- wash
- this
- lower
- fetch
- audio
- please
- far
- pause
- start
- use
- two
- phone
- low
- softer
- put
- bed
- video
- couldn't
- languages
- max
- quieter
- allow
- system
- mute
- phone's
- reduce
- resume
- anything
- device
- washer
- ten
- that
- which
- paper
- phones
- they
- so
- him
- news
- um
- from
- he
- out
- crease
- your
- ah
- better
- but
- late
- value
- k
- washing
- turned
- don't
- then
- o
- whites
- hating
- any
- said
- buy
- lies
- by
- watch
- give
- one
- done
- them
- hit
- place
- jews
- mites
- send
- for
- thing
- night
- not
- languish
- after
- was
- decreased
- lots
- pass
- dream
- bad
- life
- do
- search
- case
- increased
- corian
- we
- swish
- valium
- lamb
- or
- right
- row
- germans
- their
- 'no'
- soft
- time
- like
- own
- swiss
- can
- song
- nights
- lines
- eating
- bottom
- us
- are
- churn
- hate
- load
- top
- em
- take
- what's
- ok
- chain
- lates
- here
- with
- quite
- lice
- at
- lap
- am
- heap
- lampon
- temper
- tough
- hitting
- zone
- john
- three
- may
- vine
- bath
- keep
- into
- burn
- light's
- map
- meat
- eat
- sat
- new
- day
- white
- r
- what
- sheet
- line
- town
- through
- watchroom
- sign
- brain
- tan
- south
- kitten
- sit
- such
- should
- back
- rights
- shows
- knees
- choose
- meet
- likes
- sarks
- say
- frame
- boss
- land
- bar
- bites
- plays
- might
- our
- washerm
- bit
- she
- kit
- his
- tip
- she's
- fire
- free
- find
- bringing
- mics
- priest
- they're
- heats
- run
- shears
- fish
- stone
- tone
- there
- picture
- sent
- t
- bitum
- sweet
- sun
- ring
- love
- i'll
- pin
- vi
- try
- have
- bather
- be
- temp
- zoom
- all
- earn
- bethroom
- sucks
- fit
- as
- lives
- break
- sick
- arm
- thee
- miss
- basroom
- viam
- turns
- found
- dumb
- ladder
- trend
- vime
- viome
- if
- bathroomites
- tom
- during
- bat
- they'll
- wish
- way
- four
- about
- cheese
- mean
- nice
- ocean
- page
- turning
- still
- souths
- thy
- stand
- ding
- while
- who
- white's
- step
- switchy
- made
- mason
- see
- ashroom
- vice
- switched
- la
- ton
- washering
- favor
- via
- i'm
- betum
- create
- you're
- played
- green
- blank
- bassroom
- rim
- nap
- oh
- lay
- grease
- ice
- ball
- kitchens
- x
- nine
- her
- bridge
- pies
- pepper
- attempture
- rain
- wastrom
- peace
- b
- push
- bound
- lawyer
- these
- let
- fast
- star
- drone
- sauce
- practise
- veteran
- paul's
- fall
- temporary
- chop
- key
- bow
- daylights
- loader
- water
- twitch
- chains
- lion
- getting
- pars
- code
- fly
- makes
- offs
- lie
- jim
- tear
- sacks
- fine
- print
- five
- tap
- ye
- mind
- foot
- kiss
- fat
- writes
- will
- switcher
- de
- baton
- man
- yeah
- piece
- vol
- saw
- come
- m
- when
- talk
- round
- niece
- musing
- open
- throw
- bathing
- viim
- know
- head
- teacher
- 'true'
- term
- lord
- orshroom
- trace
- feature
- sock
- seas
- sweets
- layup
- slang
- stream
- drum
- d
- plan
- chun
- sell
- left
- leg
- settling
- men
- bathter
- 'false'
- stay
- chapter
- jane
- son
- rates
- q
- christie
- awesome
- tongue
- chaff
- there's
- outer
- clouder
- past
- red
- chair
- lab
- shares
- enough
- fund
- license
- semi-phones
- bones
- sown
- ups
- needs
- can't
- kitchenites
- drop
- let's
- french
- tempter
- source
- beth
- trying
- volumes
- slides
- atherm
- app
- battle
- drawing
- 'yes'
- trees
- twenty
- pleas
- large
- worship
- oz
- deep
- bathrooms
- loudest
- trim
- playing
- saudi
- volley
- its
- bite
- wall
- heater
- bond
- sand
- catch
- loss
- tender
- long
- dam
- heen
- might's
- fits
- sue
- eight
- pray
- sail
- sounds
- ain't
- lang
- spatroom
- part
- pitch
- matron
- jump
- wrong
- kills
- why
- band
- name
- ply
- piper
- thrown
- roll
- would
- self
- same
- js
- wash-rame
- bed-room
- lot's
- swits
- favour
- meter
- assume
- math
- heed
- stitch
- dawn
- gorian
- radio
- thumb
- pressure
- store
- dot
- meal
- seat
- welsh
- chin
- swift
- bing
- waste
- vassum
- making
- bend
- boil
- plain
- decrees
- square
- tomb
- finger
- temperatures
- speak
- pep
- bait
- stepper
- corey
- allium
- cloud
- state
- dan
- stole
- christy
- fight
- marshroom
- plate
- shown
- big
- bathrobe
- torn
- debate
- chande
- heaving
- switz
- batter
- wash-room
- trap
- ram
- jarman
- friend's
- tipture
- lampos
- flouter
- brand
- bass
- brit
- dome
- decree
- foam
- link
- sax
- seeking
- gain
- values
- beat
- watching
- dark
- creates
- midroom
- months
- camp
- forium
- compared
- race
- shines
- tempre
- pair
- weight
- read
- decays
- lump
- worse
- bus
- truth
- mice
- door
- sub
- draw
- cruci
- tar
- tend
- batting
- ms
- means
- buying
- late's
- legs
- therm
- mike
- linguish
- blaze
- mine
- peren
- walden
- arc
- cruise
- walling
- lakes
- passer
- russian
- rock
- funds
- curry
- patch
- per
- wait
- how
- days
- mamp
- paz
- just
- bringches
- must
- nor
- sing
- u
- blower
- clay
- heated
- resound
- fights
- wamp
- hearing
- basserm
- brewing
- produce
- sorry
- wound
- had
- food
- other
- quick
- an
- face
- flights
- fun
- downs
- wine
- vion
- wampoff
- lake
- lane
- last
- soften
- i'd
- check
- lowered
- heam
- ink
- twist
- think
- die
- crack
- degree
- washington
- friend
- doors
- number
- gave
- button
- tears
- lash
- many
- raised
- show
- action
- age
- engage
- says
- join
- under
- till
- save
- follow
- brings
- shot
- worst
- trainees
- night's
- bear
- rome
- l
- s
- roam
- da
- pasta
- spring
- languished
- tier
- bone
- pete
- next
- leads
- dick
- rate
- dig
- good
- six
- fought
- mesic
- beto
- fitch
- chimpashire
- carrying
- depritus
- laws
- youth
- ethroom
- baffer
- rule
- wing
- langus
- loudy
- re
- jeers
- pull
- lessons
- lighter
- took
- jew
- layout
- fats
- wit
- nace
- d's
- temple
- drawn
- person
- wastrong
- codio
- crank
- chunny
- inglace
- increases
- raleum
- z
- drones
- slide
- wet
- saucer
- embracer
- c
- bracher
- bathrum
- template
- musics
- radios
- glyta
- inglease
- sad
- shawn
- deeps
- nerve
- sobs
- blame
- best
- wandstrom
- rostrum
- sogs
- sayings
- itchen
- churnies
- ocana
- fom's
- witch
- clamp
- liked
- manguish
- lusher
- saying
- folium
- foium
- bae
- vendor
- edram
- bendroom
- bisium
- acainos
- walk
- slight
- pauses
- alm
- palima
- temperating
- loaded
- fifty
- banner
- thank
- hearts
- croom
- alima
- sats
- doing
- list
- masats
- mesus
- christa
- feet
- quote
- tandy
- bitroom
- chand
- fitjan
- west
- lampow
- lords
- press
- chili
- bedcom
- fin
- wasolates
- pastor
- breathe
- stout
- font's
- perian
- chich
- chitty
- bought
- indication
- fonts
- gen
- vash
- ashram
- india
- avashroom
- chrome
- home
- aria
- newspad
- steppad
- barthrome
- chant
- software
- chandy
- shui
- chandi
- keitelates
- belt
- trujandelaits
- indika
- chen
- shindy
- shoot
- district
- stum
- codeio
- debesh
- chandle
- digit
- prim
- size
- sodio
- roshroom
- vohima
- suppose
- shiny
- versus
- lowing
- doubt
- bake
- semithones
- waffroom
- crucial
- chippeture
- ray
- decreesadio
- kenchet
- decreesadi
- meta
- mang
- baum
- ate
- washram
- jacries
- premium
- sops
- tempure
- built
- zoo
- pring
- lowers
- opum
- dipture
- tetch
- basper
- peak
- bassorm
- pas
- switchofta
- lover
- flap
- incretes
- bastroom
- tikris
- didn't
- sweater
- bastom
- lets
- lampoff
- bedrim
- jumites
- bassum
- vaim
- badger
- lengths
- promise
- batroom
- dog
- bedrooms
- satio
- involve
- quiner
- samayum
- sulo
- fused
- butte
- decrysovalium
- subtuse
- silo
- tread
- fetchment
- lime
- stuff
- kin
- switzerland
- eaten
- sex
- sublinguisha
- seling
- singhush
- fitchmus
- ox
- seven
- mingle
- shakorean
- foams
- keeps
- setmingwich
- quorian
- swer
- smingh
- someites
- washroomites
- posse
- seeding
- haste
- rosh
- toff
- vein
- seating
- chemi
- sis
- debt
- lamish
- jinnies
- gennies
- linguishu
- tarn
- gym
- eats
- dough
- fedium
- isaac
- bender
- does
- healing
- speed
- adam
- noun
- aldio
- etch
- amp
- sangus
- southern
- vodroom
- sanch
- post
- beddo
- things
- sounded
- tick
- toverty
- view
- weshroom
- comparator
- fordom
- keys
- templar
- worker
- tiki
- odio
- geo
- fordium
- mode
- mindless
- fishermen
- lua
- pierto
- voting
- brad
- europe
- grade
- shrieks
- cures
- stub
- decase
- ufoium
- geophonia
- moved
- villium
- drews
- compare
- vodal
- dumpier
- sorts
- cases
- bosh
- modes
- souls
- rose
- pedro
- mash
- shanja
- druce
- benise
- draws
- minces
- laguish
- throughdome
- sweetzer
- compato
- science
- dumper
- breathing
- yong
- vanquish
- chorean
- bell
- word
- sentence
- strain
- washern
- lava
- basom
- smith
- less
- sons
- sights
- sides
- vying
- allowed
- cough
- drew
- knee
- bastin
- sot
- stopping
- blee
- kisa
- agenda
- va
- outset
- belights
- tingway
- lada
- sus
- germ
- bedroomed
- length
- phoned
- rezone
- lands
- knitting
- submit
- broom
- touch
- hook
- maths
- chaffelites
- kinch
- june
- limp
- namp
- basser
- gitchen
- dreamly
- bash
- upped
- boff
- mines
- zik
- chikurian
- ab
- ut
- hamperture
- pawn
- okena
- kain
- coose
- fon's
- truck
- battery
- washm
- likesov
- cherp
- scripture
- small
- welding
- samphon
- slaying
- baldium
- berumita
- slamp
- helium
- habiture
- saldom
- vatum
- blushham
- apedial
- sums
- flipper
- langworth
- id
- itch
- isherm
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    macaron_style: true
    pos_enc_layer_type: rel_pos
    selfattention_layer_type: rel_selfattn
    activation_type: swish
    use_cnn_module: true
    cnn_module_kernel: 31
decoder: transformer
decoder_conf:
    attention_heads: 4
    linear_units: 2048
    num_blocks: 6
    dropout_rate: 0.1
    positional_dropout_rate: 0.1
    self_attention_dropout_rate: 0.0
    src_attention_dropout_rate: 0.0
decoder2: rnn
decoder2_conf: {}
postdecoder: hugging_face_transformers
postdecoder_conf:
    model_name_or_path: bert-base-cased
    output_size: 256
required:
- output_dir
- token_list
version: 0.10.3a3
distributed: false
```

</details>



### Citing ESPnet

```BibTex
@inproceedings{watanabe2018espnet,
  author={Shinji Watanabe and Takaaki Hori and Shigeki Karita and Tomoki Hayashi and Jiro Nishitoba and Yuya Unno and Nelson Yalta and Jahn Heymann and Matthew Wiesner and Nanxin Chen and Adithya Renduchintala and Tsubasa Ochiai},
  title={{ESPnet}: End-to-End Speech Processing Toolkit},
  year={2018},
  booktitle={Proceedings of Interspeech},
  pages={2207--2211},
  doi={10.21437/Interspeech.2018-1456},
  url={http://dx.doi.org/10.21437/Interspeech.2018-1456}
}




```

or arXiv:

```bibtex
@misc{watanabe2018espnet,
  title={ESPnet: End-to-End Speech Processing Toolkit}, 
  author={Shinji Watanabe and Takaaki Hori and Shigeki Karita and Tomoki Hayashi and Jiro Nishitoba and Yuya Unno and Nelson Yalta and Jahn Heymann and Matthew Wiesner and Nanxin Chen and Adithya Renduchintala and Tsubasa Ochiai},
  year={2018},
  eprint={1804.00015},
  archivePrefix={arXiv},
  primaryClass={cs.CL}
}
```
