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1 Ergebnisse
1
Leveraging in-the-wild Data for Effective Self-supervised P..:
, In:
ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
,
Wang, Shuai
;
Bai, Qibing
;
Liu, Qi
... - p. 10901-10905 , 2024
Link:
https://doi.org/10.1109/ICASSP48485.2024.10447489
RT T1 <cTitle>ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)</cTitle>: T1 <Title>Leveraging in-the-wild Data for Effective Self-supervised Pretraining in Speaker Recognition</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10447489&Exemplar=1&LAN=DE A1 Wang, Shuai A1 Bai, Qibing A1 Liu, Qi A1 Yu, Jianwei A1 Chen, Zhengyang A1 Han, Bing A1 Qian, Yanmin A1 Li, Haizhou YR 2024 SN 2379-190X K1 Training K1 System performance K1 Pipelines K1 Training data K1 Speech recognition K1 Signal processing K1 Filtering algorithms K1 self-supervised learning K1 DINO K1 in-the-wild K1 speaker recognition SP 10901 OP 10905 LK http://dx.doi.org/https://doi.org/10.1109/ICASSP48485.2024.10447489 DO https://doi.org/10.1109/ICASSP48485.2024.10447489 SF ELIB - SuUB Bremen
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