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

Title
Evaluating Bias in Spoken Dialogue LLMs for Real-World Decisions and Recommendations Y. Wu Tianrui Wang Yizhou Peng Yi-Wen Chao Xuyi Zhuang Xinsheng Wang Shunshun Yin Ziyang Ma 154 0 0 27 Sep 2025
ZMM-TTS: Zero-shot Multilingual and Multispeaker Speech Synthesis Conditioned on Self-supervised Discrete Speech Representations Cheng Gong Xin Wang Erica Cooper Dan Wells Longbiao Wang Jianwu Dang Korin Richmond Junichi Yamagishi 258 36 0 22 Dec 2023
Adversarial Data Augmentation Using VAE-GAN for Disordered Speech RecognitionIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022 Zengrui Jin Xurong Xie Mengzhe Geng Tianzi Wang Shujie Hu Jiajun Deng Guinan Li Xunying Liu DRL 262 23 0 03 Nov 2022
Towards High-Quality Neural TTS for Low-Resource Languages by Learning Compact Speech Representations Haohan Guo Fenglong Xie Xixin Wu Hui Lu Helen Meng 702 3 0 27 Oct 2022