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1 Ergebnisse
1
Disentangling Content and Fine-Grained Prosody Information ..:
, In:
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
,
Zhao, Xintao
;
Liu, Feng
;
Song, Changhe
... - p. 7022-7026 , 2022
Link:
https://doi.org/10.1109/ICASSP43922.2022.9747625
RT T1 <cTitle>ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)</cTitle>: T1 <Title>Disentangling Content and Fine-Grained Prosody Information Via Hybrid ASR Bottleneck Features for Voice Conversion</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9747625&Exemplar=1&LAN=DE A1 Zhao, Xintao A1 Liu, Feng A1 Song, Changhe A1 Wu, Zhiyong A1 Kang, Shiyin A1 Tuo, Deyi A1 Meng, Helen YR 2022 SN 2379-190X K1 Vocoders K1 Neural networks K1 Speech recognition K1 Signal processing K1 Feature extraction K1 Entropy K1 Data mining K1 voice conversion K1 hybrid bottleneck features K1 cross entropy K1 connectionist temporal classification K1 disentangling SP 7022 OP 7026 LK http://dx.doi.org/https://doi.org/10.1109/ICASSP43922.2022.9747625 DO https://doi.org/10.1109/ICASSP43922.2022.9747625 SF ELIB - SuUB Bremen
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