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1
What Do Self-Supervised Speech and Speaker Models Learn? Ne..:
, In:
ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
,
Ashihara, Takanori
;
Delcroix, Marc
;
Moriya, Takafumi
... - p. 10166-10170 , 2024
Link:
https://doi.org/10.1109/ICASSP48485.2024.10446422
RT T1 <cTitle>ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)</cTitle>: T1 <Title>What Do Self-Supervised Speech and Speaker Models Learn? New Findings from a Cross Model Layer-Wise Analysis</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10446422&Exemplar=1&LAN=DE A1 Ashihara, Takanori A1 Delcroix, Marc A1 Moriya, Takafumi A1 Matsuura, Kohei A1 Asami, Taichi A1 Ijima, Yusuke YR 2024 SN 2379-190X K1 Training K1 Analytical models K1 Refining K1 Self-supervised learning K1 Linguistics K1 Speech enhancement K1 Signal processing K1 speaker representation K1 speech representation K1 probing task K1 layer-wise similarity analysis SP 10166 OP 10170 LK http://dx.doi.org/https://doi.org/10.1109/ICASSP48485.2024.10446422 DO https://doi.org/10.1109/ICASSP48485.2024.10446422 SF ELIB - SuUB Bremen
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