A Study on Low-Latency Recognition-Synthesis-Based Any-to-One Voice Conversion-Reference-Cited by-同舟云学术

A Study on Low-Latency Recognition-Synthesis-Based Any-to-One Voice Conversion

Published:2022-11-07 Issue: Volume: Page:
ISSN:
Container-title:2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
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Author:

Ding Yi-Yang¹,Liu Li-Juan²,Hu Yu¹,Ling Zhen-Hua¹

Affiliation:

1. National Engineering Research Center of Speech and Language Information Processing, University of Science and Technology of China,Hefei,P.R.China

2. iFLYTEK Research, iFLYTEK Co. Ltd.,Hefei,P.R.China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9979726/9979808/09980091.pdf?arnumber=9980091

Reference29 articles.

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2. Hifi-GAN: Generative adversarial networks for efficient and high fidelity speech synthesis;kong;Advances in neural information processing systems,2020

3. Voice conversion challenge 2020: Intra-lingual semi-parallel and cross-lingual voice conversion;zhao;Joint Workshop for the Blizzard Challenge and Voice Conversion Challenge 2020,0

4. Lifter Training and Sub-Band Modeling for Computationally Efficient and High-Quality Voice Conversion Using Spectral Differentials

5. Real-time, full-band, online DNN-based voice conversion system using a single cpu;saeki;InterSpeech,2020

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