Answers.Body: <p>Since I am working with audio synthesis projects, I can suggest you to go through the recently released paper "MelNet: A Generative Model for Audio in the Frequency Domain", in this architecture human like speech is synthesized, I think this might be better than WaveNet where the generated audio does contain robotic nature, I think this will definitely help you with Emotional speech synthesis as it generates human-like voices.
  You can check for online demos as well.</p>
  
  <p><a href="https://sjvasquez.github.io/blog/melnet/" rel="nofollow noreferrer">Demo</a></p>
  
  <p><a href="https://arxiv.org/pdf/1906.01083.pdf" rel="nofollow noreferrer">Here Is the Paper!</a></p>
  
  <p><a href="https://www.youtube.com/watch?v=BZ_sjvAHLpA" rel="nofollow noreferrer">Related YouTube Video </a></p>
  
  <p>Hope this helps!</p>
  
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2019-10-17T05:44:32.290Z
Answers.Text: Thanks for helping the demo is really great, If you please send the paper again as the link doesn't work.
Answers.UserDisplayName: Andrew Maher
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2019-10-17T07:05:03.620Z
Answers.Text: Hi @AndrewMaher Glad that it helped you,I have edited the link. If this or any answer has solved your question please consider accepting it by clicking the check-mark so that others will be benefited.
Answers.UserDisplayName: SUMAN
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2019-10-19T12:25:27.777Z
Answers.Text: Can you suggest good datasets to start with
Answers.UserDisplayName: Andrew Maher
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2019-10-17T02:57:22.310Z
Answers.LastActivityDate: 2019-10-17T06:52:44.633Z
Answers.LastEditDate: 2019-10-17T06:52:44.633Z
Answers.UserDisplayName: SUMAN
Body: <p>We are a team of computer science our graduation project about EmotionalSpeech Synthesis.</p>
  
  <p>We've found valuable information like research papers and WaveNet, Tacotron. 
  A website (<a href="https://www.voicery.com/" rel="nofollow noreferrer">https://www.voicery.com/</a>)</p>
  
  <p>we were hoping to get to know more information from you.</p>
  
  <p>We need more details what should we start with to grasp the fundamentals to build this idea, what is the architecture to be used in this project, whether there are papers, a GitHub Repository containing helpful documentation, datasets, some other resources, previous knowledge. </p>
  
Tags: <neural-networks><deep-learning><recurrent-neural-networks><reference-request><emotional-intelligence>
Title: Emotional Speech Synthesis
UserDisplayName: Andrew Maher
ThreadText: # Emotional Speech Synthesis
  
  (Asked by: username_0 on 2019-10-16)
  
  We are a team of computer science our graduation project about EmotionalSpeech Synthesis.
  
  We've found valuable information like research papers and WaveNet, Tacotron.
  A website (<https://www.voicery.com/>)
  
  we were hoping to get to know more information from you.
  
  We need more details what should we start with to grasp the fundamentals to build this idea, what is the architecture to be used in this project, whether there are papers, a GitHub Repository containing helpful documentation, datasets, some other resources, previous knowledge.
  
  **Tags:** neural-networks, deep-learning, recurrent-neural-networks, reference-request, emotional-intelligence
  
  
  ---
  
  ## 1 answers
  
  ### Answer by username_1 on 2019-10-17. Score: 0 | Accepted answer
  
  Since I am working with audio synthesis projects, I can suggest you to go through the recently released paper "MelNet: A Generative Model for Audio in the Frequency Domain", in this architecture human like speech is synthesized, I think this might be better than WaveNet where the generated audio does contain robotic nature, I think this will definitely help you with Emotional speech synthesis as it generates human-like voices.
  You can check for online demos as well.
  
  [Demo](https://sjvasquez.github.io/blog/melnet/)
  
  [Here Is the Paper!](https://arxiv.org/pdf/1906.01083.pdf)
  
  [Related YouTube Video](https://www.youtube.com/watch?v=BZ_sjvAHLpA)
  
  Hope this helps!
  
  > **Comments:**
  > **username_0**: Thanks for helping the demo is really great, If you please send the paper again as the link doesn't work.  
  > **username_1**: Hi @username_0 Glad that it helped you,I have edited the link. If this or any answer has solved your question please consider accepting it by clicking the check-mark so that others will be benefited.  
  > **username_0**: Can you suggest good datasets to start with  
  
  ---
  
  