High-Fidelity Speech Synthesis with Minimal Supervision: All Using Diffusion Models-Reference-Cited by-同舟云学术

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High-Fidelity Speech Synthesis with Minimal Supervision: All Using Diffusion Models

Published:2024-04-14 Issue: Volume:32 Page:10781-10785
ISSN:
Container-title:ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Qiang Chunyu¹,Li Hao²,Tian Yixin²,Zhao Yi²,Zhang Ying²,Wang Longbiao¹,Dang Jianwu³

Affiliation:

1. Tianjin University,School of New Media and Communication,Tianjin,China

2. Kuaishou Technology Co., Ltd,Beijing,China

3. Tianjin University,Tianjin Key Laboratory of Cognitive Computing and Application, College of Intelligence and Computing,Tianjin,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10445798/10445803/10448495.pdf?arnumber=10448495

Reference30 articles.

1. Tacotron: Towards End-to-End Speech Synthesis

2. Deep voice: Real-time neural text-to-speech;Arik

3. Neural Speech Synthesis with Transformer Network

4. Fastspeech: Fast, robust and controllable text to speech;Ren;Advances in Neural Information Processing Systems,2019

5. Glow-tts: A generative flow for text-to-speech via monotonic alignment search;Kim;Advances in Neural Information Processing Systems,2020

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