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1 Ergebnisse
1
Convmixer: Feature Interactive Convolution with Curriculum ..:
, In:
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
,
Ng, Dianwen
;
Chen, Yunqi
;
Tian, Biao
.. - p. 3603-3607 , 2022
Link:
https://doi.org/10.1109/ICASSP43922.2022.9747025
RT T1 <cTitle>ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)</cTitle>: T1 <Title>Convmixer: Feature Interactive Convolution with Curriculum Learning for Small Footprint and Noisy Far-Field Keyword Spotting</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9747025&Exemplar=1&LAN=DE A1 Ng, Dianwen A1 Chen, Yunqi A1 Tian, Biao A1 Fu, Qiang A1 Chng, Eng Siong YR 2022 SN 2379-190X K1 Training K1 Convolution K1 Computational modeling K1 Memory management K1 Transformers K1 Noise robustness K1 Noise measurement K1 keyword spotting K1 small footprint K1 noisy far-field SP 3603 OP 3607 LK http://dx.doi.org/https://doi.org/10.1109/ICASSP43922.2022.9747025 DO https://doi.org/10.1109/ICASSP43922.2022.9747025 SF ELIB - SuUB Bremen
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