Wav2vec-VC: Voice Conversion via Hidden Representations of Wav2vec 2.0
Author:
Affiliation:
1. PrairieSchooner Inc,Republic of Korea
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10445798/10445803/10447984.pdf?arnumber=10447984
Reference28 articles.
1. Generative Pre-Training for Speech with Autoregressive Predictive Coding
2. Representation learning with contrastive predictive coding;van den Oord,2018
3. HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Units
4. wav2vec 2.0: A framework for self-supervised learning of speech representations;Baevski;Advances in neural information processing systems,2020
5. Exploring wav2vec 2.0 on speaker verification and language identification;Fan,2020
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1. ELP-Adapters: Parameter Efficient Adapter Tuning for Various Speech Processing Tasks;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2024
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