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1
Attentionpit: Soft Permutation Invariant Training for Audio..:
, In:
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
,
Kameoka, Hirokazu
;
Seki, Shogo
;
Li, Li
. - p. 706-710 , 2022
Link:
https://doi.org/10.1109/ICASSP43922.2022.9746439
RT T1 <cTitle>ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)</cTitle>: T1 <Title>Attentionpit: Soft Permutation Invariant Training for Audio Source Separation with Attention Mechanism</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9746439&Exemplar=1&LAN=DE A1 Kameoka, Hirokazu A1 Seki, Shogo A1 Li, Li A1 Watanabe, Chihiro YR 2022 SN 2379-190X K1 Training K1 Backpropagation K1 Source separation K1 Conferences K1 Acoustics K1 Time-domain analysis K1 Time complexity K1 End-to-end audio source separation K1 permutation invariant training (PIT) K1 attention SP 706 OP 710 LK http://dx.doi.org/https://doi.org/10.1109/ICASSP43922.2022.9746439 DO https://doi.org/10.1109/ICASSP43922.2022.9746439 SF ELIB - SuUB Bremen
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