S3PRL-VC: Open-Source Voice Conversion Framework with Self-Supervised Speech Representations
Author:
Affiliation:
1. Nagoya University,Japan
2. National Taiwan University,Taiwan
3. Carnegie Mellon University,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9745891/9746004/09746430.pdf?arnumber=9746430
Reference30 articles.
1. CASIA Voice Conversion System for the Voice Conversion Challenge 2020
2. S2VC: A Framework for Any-to-Any Voice Conversion with Self-Supervised Pretrained Representations
3. On Prosody Modeling for ASR+TTS Based Voice Conversion
4. SUPERB: Speech Processing Universal PERformance Benchmark
5. wav2vec 2.0: A framework for self-supervised learning of speech representations;baevski;Proc NeruIPS,2020
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