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1 Ergebnisse
1
End To End Learning For Convolutive Multi-Channel Wiener Fi..:
, In:
ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
,
Togami, Masahito
- p. 8032-8036 , 2021
Link:
https://doi.org/10.1109/ICASSP39728.2021.9414907
RT T1 <cTitle>ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)</cTitle>: T1 <Title>End To End Learning For Convolutive Multi-Channel Wiener Filtering</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9414907&Exemplar=1&LAN=DE A1 Togami, Masahito YR 2021 SN 2379-190X K1 Time-frequency analysis K1 Wiener filters K1 Source separation K1 Conferences K1 Neural networks K1 Probability density function K1 Acoustics K1 deep neural network K1 multi-channel Wiener filtering K1 dereverberation K1 speech source separation SP 8032 OP 8036 LK http://dx.doi.org/https://doi.org/10.1109/ICASSP39728.2021.9414907 DO https://doi.org/10.1109/ICASSP39728.2021.9414907 SF ELIB - SuUB Bremen
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