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Applying the Information Bottleneck Principle to Prosodic Representation
  Learning

Applying the Information Bottleneck Principle to Prosodic Representation Learning

5 August 2021
Guangyan Zhang
Ying Qin
Daxin Tan
Tan Lee
ArXivPDFHTML

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

2 / 2 papers shown
Title
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 Timbre
Guangyan Zhang
Ying Qin
W. Zhang
Jialun Wu
Mei Li
Yu Gai
Feijun Jiang
Tan Lee
48
26
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 Speech
Guangyan Zhang
Kaitao Song
Xu Tan
Daxin Tan
Yuzi Yan
...
G. Wang
Wei Zhou
Tao Qin
Tan Lee
Sheng Zhao
SSL
20
21
0
31 Mar 2022
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