USAT: A Universal Speaker-Adaptive Text-to-Speech Approach-Reference-Cited by-同舟云学术

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USAT: A Universal Speaker-Adaptive Text-to-Speech Approach

Published:2024 Issue: Volume:32 Page:2590-2604
ISSN:2329-9290
Container-title:IEEE/ACM Transactions on Audio, Speech, and Language Processing
language:
Short-container-title:IEEE/ACM Trans. Audio Speech Lang. Process.

Author:

Wang Wenbin¹^ORCID,Song Yang¹^ORCID,Jha Sanjay¹^ORCID

Affiliation:

1. School of Computer Science and Engineering, University of New South Wales, Kensington, NSW, Australia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6570655/10304349/10508477.pdf?arnumber=10508477

Reference77 articles.

1. Deep voice: Real-time neural text-to-speech;Arik,2017

2. Fastspeech 2: Fast and high-quality end-to-end text to speech;Ren,2021

3. Natural TTS Synthesis by Conditioning Wavenet on MEL Spectrogram Predictions

4. Glow-TTS: A generative flow for text-to-speech via monotonic alignment search;Kim,2020

5. Grad-TTS: A diffusion probabilistic model for text-to-speech;Popov,2021

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. Multi-Granularity Prosodic Speech Synthesis with Grammar Information;2024

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