Prosody-Controllable Spontaneous TTS with Neural HMMS
Author:
Affiliation:
1. KTH Royal Institute of Technology,Division of Speech, Music and Hearing,Stockholm,Sweden
Funder
Riksbankens Jubileumsfond
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10094559/10094560/10097200.pdf?arnumber=10097200
Reference27 articles.
1. Generating Diverse and Natural Text-to-Speech Samples Using a Quantized Fine-Grained VAE and Autoregressive Prosody Prior
2. Towards end- to-end prosody transfer for expressive speech synthesis with Tacotron;skerry-ryan;Proc ICML,2018
3. Sequence to Sequence Neural Speech Synthesis with Prosody Modification Capabilities
4. Hierarchical Prosody Modeling and Control in Non-Autoregressive Parallel Neural TTS
5. Turn-taking cues in task-oriented dialogue
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