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Applying the Information Bottleneck Principle to Prosodic Representation
  Learning

Applying the Information Bottleneck Principle to Prosodic Representation Learning

Interspeech (Interspeech), 2021
5 August 2021
Guangyan Zhang
Ying Qin
Daxin Tan
Tan Lee
ArXiv (abs)PDFHTML

Papers citing "Applying the Information Bottleneck Principle to Prosodic Representation Learning"

2 / 2 papers shown
iEmoTTS: Toward Robust Cross-Speaker Emotion Transfer and Control for
  Speech Synthesis based on Disentanglement between Prosody and Timbre
iEmoTTS: Toward Robust Cross-Speaker Emotion Transfer and Control for Speech Synthesis based on Disentanglement between Prosody and TimbreIEEE/ACM Transactions on Audio Speech and Language Processing (TASLP), 2022
Guangyan Zhang
Ying Qin
Weinan Zhang
Jialun Wu
Mei Li
Yu Gai
Feijun Jiang
Tan Lee
335
35
0
29 Jun 2022
Mixed-Phoneme BERT: Improving BERT with Mixed Phoneme and Sup-Phoneme
  Representations for Text to Speech
Mixed-Phoneme BERT: Improving BERT with Mixed Phoneme and Sup-Phoneme Representations for Text to SpeechInterspeech (Interspeech), 2022
Guangyan Zhang
Kaitao Song
Xu Tan
Daxin Tan
Yuzi Yan
...
G. Wang
Wei Zhou
Tao Qin
Tan Lee
Sheng Zhao
SSL
339
24
0
31 Mar 2022
1
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