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A Multi-Stage Multi-Codebook VQ-VAE Approach to High-Performance Neural
TTS

A Multi-Stage Multi-Codebook VQ-VAE Approach to High-Performance Neural TTS

Interspeech (Interspeech), 2022

22 September 2022

ArXiv (abs)PDF HTML

Papers citing "A Multi-Stage Multi-Codebook VQ-VAE Approach to High-Performance Neural TTS"

4 / 4 papers shown

Evaluating Bias in Spoken Dialogue LLMs for Real-World Decisions and Recommendations

Evaluating Bias in Spoken Dialogue LLMs for Real-World Decisions and Recommendations

158

0

0

27 Sep 2025

ZMM-TTS: Zero-shot Multilingual and Multispeaker Speech Synthesis
Conditioned on Self-supervised Discrete Speech Representations

ZMM-TTS: Zero-shot Multilingual and Multispeaker Speech Synthesis Conditioned on Self-supervised Discrete Speech Representations

Xin Wang

Longbiao Wang

Junichi Yamagishi

262

36

0

22 Dec 2023

Adversarial Data Augmentation Using VAE-GAN for Disordered Speech
Recognition

Adversarial Data Augmentation Using VAE-GAN for Disordered Speech RecognitionIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022

Zengrui Jin

Tianzi Wang

Shujie Hu

Jiajun Deng

269

24

0

03 Nov 2022

Towards High-Quality Neural TTS for Low-Resource Languages by Learning
Compact Speech Representations

Towards High-Quality Neural TTS for Low-Resource Languages by Learning Compact Speech Representations

726

3

0

27 Oct 2022