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A Comparison of Discrete Latent Variable Models for Speech
  Representation Learning

A Comparison of Discrete Latent Variable Models for Speech Representation Learning

24 October 2020
Henry Zhou
Alexei Baevski
Michael Auli
    DRL
ArXivPDFHTML

Papers citing "A Comparison of Discrete Latent Variable Models for Speech Representation Learning"

5 / 5 papers shown
Title
DSE-TTS: Dual Speaker Embedding for Cross-Lingual Text-to-Speech
DSE-TTS: Dual Speaker Embedding for Cross-Lingual Text-to-Speech
Sen Liu
Yiwei Guo
Chenpeng Du
Xie Chen
Kai Yu
34
6
0
25 Jun 2023
Learning Dependencies of Discrete Speech Representations with Neural
  Hidden Markov Models
Learning Dependencies of Discrete Speech Representations with Neural Hidden Markov Models
Sung-Lin Yeh
Hao Tang
SSL
BDL
35
1
0
29 Oct 2022
Learning Invariant Representation and Risk Minimized for Unsupervised
  Accent Domain Adaptation
Learning Invariant Representation and Risk Minimized for Unsupervised Accent Domain Adaptation
Chendong Zhao
Jianzong Wang
Xiaoyang Qu
Haoqian Wang
Jing Xiao
SSL
40
1
0
15 Oct 2022
Self-Supervised Speech Representation Learning: A Review
Self-Supervised Speech Representation Learning: A Review
Abdel-rahman Mohamed
Hung-yi Lee
Lasse Borgholt
Jakob Drachmann Havtorn
Joakim Edin
...
Shang-Wen Li
Karen Livescu
Lars Maaløe
Tara N. Sainath
Shinji Watanabe
SSL
AI4TS
137
354
0
21 May 2022
Autoregressive Co-Training for Learning Discrete Speech Representations
Autoregressive Co-Training for Learning Discrete Speech Representations
Sung-Lin Yeh
Hao Tang
SSL
27
6
0
29 Mar 2022
1