MoCoVC: Non-parallel Voice Conversion with Momentum Contrastive Representation Learning
Author:
Affiliation:
1. The University of Electro-Communications,Tokyo,Japan
Funder
JSPS KAKENHI
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9979726/9979808/09979937.pdf?arnumber=9979937
Reference28 articles.
1. A simple framework for contrastive learning of visual representations;chen;ArXiv Preprint,2020
2. wav2vec: Unsupervised Pre-Training for Speech Recognition
3. Representation learning with contrastive predictive coding;oord;ar Xiv preprint,2018
4. Contrastive learning of general-purpose audio representations;saeed;ArXiv Preprint,2020
5. Fragmentvc: Any-To-Any Voice Conversion by End-To-End Extracting and Fusing Fine-Grained Voice Fragments with Attention
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1. Hvqu$^{2}$-Vc: A One Shot Voice Conversion by Integrating Hierarchical Vector Quantization and Nested U-Net Structure;2024
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