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1 Ergebnisse
1
Folding Attention: Memory and Power Optimization for On-Dev..:
, In:
ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
,
Li, Yang
;
Lai, Liangzhen
;
Shangguan, Yuan
... - p. 11901-11905 , 2024
Link:
https://doi.org/10.1109/ICASSP48485.2024.10447827
RT T1 <cTitle>ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)</cTitle>: T1 <Title>Folding Attention: Memory and Power Optimization for On-Device Transformer-Based Streaming Speech Recognition</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10447827&Exemplar=1&LAN=DE A1 Li, Yang A1 Lai, Liangzhen A1 Shangguan, Yuan A1 Iandola, Forrest N. A1 Ni, Zhaoheng A1 Chang, Ernie A1 Shi, Yangyang A1 Chandra, Vikas YR 2024 SN 2379-190X K1 Power demand K1 Computational modeling K1 Memory management K1 Speech recognition K1 Signal processing K1 Transformers K1 User experience K1 speech recognition K1 Transformer K1 attention K1 memory optimization K1 power optimization SP 11901 OP 11905 LK http://dx.doi.org/https://doi.org/10.1109/ICASSP48485.2024.10447827 DO https://doi.org/10.1109/ICASSP48485.2024.10447827 SF ELIB - SuUB Bremen
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