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VCVTS: Multi-Speaker Video-to-Speech Synthesis Via Cross-Mo..:
, In:
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
,
Wang, Disong
;
Yang, Shan
;
Su, Dan
... - p. 7252-7256 , 2022
Link:
https://doi.org/10.1109/ICASSP43922.2022.9747427
RT T1 <cTitle>ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)</cTitle>: T1 <Title>VCVTS: Multi-Speaker Video-to-Speech Synthesis Via Cross-Modal Knowledge Transfer from Voice Conversion</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9747427&Exemplar=1&LAN=DE A1 Wang, Disong A1 Yang, Shan A1 Su, Dan A1 Liu, Xunying A1 Yu, Dong A1 Meng, Helen YR 2022 SN 2379-190X K1 Measurement K1 Knowledge engineering K1 Vocabulary K1 Lips K1 Vector quantization K1 Predictive coding K1 Acoustics K1 Multi-speaker K1 Video-to-Speech synthesis K1 voice conversion K1 knowledge transfer K1 vector quantization SP 7252 OP 7256 LK http://dx.doi.org/https://doi.org/10.1109/ICASSP43922.2022.9747427 DO https://doi.org/10.1109/ICASSP43922.2022.9747427 SF ELIB - SuUB Bremen
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