Transfer Learning From Speech Synthesis to Voice Conversion With Non-Parallel Training Data

Author:

Zhang MingyangORCID,Zhou Yi,Zhao Li,Li HaizhouORCID

Funder

National Research Foundation Singapore

National Robotics Programme

Advanced Manufacturing, and Engineering Programmatic

National Key Research, and Development Program of China

NUS research scholarship

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Acoustics and Ultrasonics,Computer Science (miscellaneous),Computational Mathematics

Cited by 32 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. Singing for the Missing: Bringing the Body Back to AI Voice and Speech Technologies;Proceedings of the 9th International Conference on Movement and Computing;2024-05-30

2. Visualizing Parts of Speech Tags by Analysing English Language Text;2024 Third International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE);2024-04-26

3. QUICKVC: A Lightweight VITS-Based Any-to-Many Voice Conversion Model using ISTFT for Faster Conversion;2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU);2023-12-16

4. A Memory Optimization Method for Distributed Training;Communications in Computer and Information Science;2023-11-13

5. Any-to-One Non-Parallel Voice Conversion System Using an Autoregressive Conversion Model and LPCNet Vocoder;Applied Sciences;2023-11-02

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