ReVISE: Self-Supervised Speech Resynthesis with Visual Input for Universal and Generalized Speech Regeneration
Author:
Affiliation:
1. FAIR, Meta AI Research
2. Meta Reality Labs Research
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10203037/10203050/10205038.pdf?arnumber=10205038
Reference58 articles.
1. Audio-Visual Speech Codecs: Rethinking Audio-Visual Speech Enhancement by Re-Synthesis
2. Self-Training and Pre-Training are Complementary for Speech Recognition
3. Vid2speech: Speech reconstruction from silent video
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1. AV2WAV: Diffusion-Based Re-Synthesis from Continuous Self-Supervised Features for Audio-Visual Speech Enhancement;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14
2. RobustL2S: Speaker-Specific Lip-to-Speech Synthesis exploiting Self-Supervised Representations;2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC);2023-10-31
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