A Fast High-Fidelity Source-Filter Vocoder With Lightweight Neural Modules
Author:
Affiliation:
1. Department of Computer Science and Technology, State Key Laboratory of Intelligent Technology and Systems, Institute for AI, THBI, BNRist, Tsinghua University, Beijing, China
2. Department of Automation, Tsinghua University, Beijing, China
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Acoustics and Ultrasonics,Computer Science (miscellaneous),Computational Mathematics
Link
http://xplorestaging.ieee.org/ielx7/6570655/9970249/10271535.pdf?arnumber=10271535
Reference49 articles.
1. Parallel Wavegan: A Fast Waveform Generation Model Based on Generative Adversarial Networks with Multi-Resolution Spectrogram
2. ClariNet: Parallel wave generation in end-to-end text-to-speech;ping;Proc Int Conf Learn Representations,0
3. HiFi-GAN: Generative adversarial networks for efficient and high fidelity speech synthesis;kong;Proc Adv Neural Inf Process Syst,0
4. MelGAN: Generative adversarial networks for conditional waveform synthesis;kumar;Proc Adv Neural Inf Process Syst,0
5. Parallel WaveNet: Fast high-fidelity speech synthesis;oord;Proc 35th Int Conf Mach Learn,0
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. Effective Zero-Shot Multi-Speaker Text-to-Speech Technique Using Information Perturbation and a Speaker Encoder;Sensors;2023-12-03
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