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1 Ergebnisse
1
Insights of Neural Representations in Multi-Banded and Mult..:
, In:
2022 30th European Signal Processing Conference (EUSIPCO)
,
Ollerenshaw, A.
;
Jalal, M.A.
;
Hain, T.
- p. 434-438 , 2022
Link:
https://doi.org/10.23919/EUSIPCO55093.2022.9909875
RT T1 <cTitle>2022 30th European Signal Processing Conference (EUSIPCO)</cTitle>: T1 <Title>Insights of Neural Representations in Multi-Banded and Multi-Channel Convolutional Transformers for End-to-End ASR</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9909875&Exemplar=1&LAN=DE A1 Ollerenshaw, A. A1 Jalal, M.A. A1 Hain, T. YR 2022 SN 2076-1465 K1 Training K1 Adaptation models K1 Analytical models K1 Computational modeling K1 Training data K1 Performance gain K1 Transformers K1 end-to-end K1 automatic speech recognition K1 transformer K1 interpretability K1 convolutional neural net-works SP 434 OP 438 LK http://dx.doi.org/https://doi.org/10.23919/EUSIPCO55093.2022.9909875 DO https://doi.org/10.23919/EUSIPCO55093.2022.9909875 SF ELIB - SuUB Bremen
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