A Study on the Efficacy of Model Pre-Training In Developing Neural Text-to-Speech System-Reference-Cited by-同舟云学术

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A Study on the Efficacy of Model Pre-Training In Developing Neural Text-to-Speech System

Published:2022-05-23 Issue: Volume: Page:
ISSN:
Container-title:ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Zhang Guangyan¹,Leng Yichong²,Tan Daxin¹,Qin Ying³,Song Kaitao⁴,Tan Xu⁴,Zhao Sheng⁵,Lee Tan¹

Affiliation:

1. The Chinese University of Hong Kong,Department of Electronic Engineering

2. University of Science and Technology of China

3. Beijing Jiaotong University,Institute of Information Science,Beijing,China,100044

4. Microsoft Research Asia

5. Microsoft Azure Speech

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9745891/9746004/09746425.pdf?arnumber=9746425

Reference23 articles.

1. Zero-Shot Multi-Speaker Text-To-Speech with State-Of-The-Art Neural Speaker Embeddings

2. Cuhk-ee voice cloning system for icassp 2021 m2voc challenge;tan,2021

3. Prosody in second language acquisition

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. iEmoTTS: Toward Robust Cross-Speaker Emotion Transfer and Control for Speech Synthesis Based on Disentanglement Between Prosody and Timbre;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2023

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