Matches in SemOpenAlex for { <https://semopenalex.org/work/W4319779944> ?p ?o ?g. }
Showing items 1 to 89 of
89
with 100 items per page.
- W4319779944 abstract "Keyword spotting (KWS) is an important technique to free users’ hands in man-machine communication. It is quite challenging to build a system with both low False Reject Ratio (FRR) and low False Alarm Ratio (FAR) for real scenarios, especially when computational resources are limited. In this paper, we propose a two-stage KWS system to obtain the trade-off between low computation and high performance. To meet the low-computation requirement, we propose an acoustic model based on multi-resolution GLU stacked 1D convolutional neural network (MRG-SID). The second requirement is achieved by a second stage classification strategy, in which the neural network features are selected as classifier input for final wakeup word detection. Without increasing the relative FRR, it can reduce the FAR by introducing a few network parameters only. Experiments on a 10K hours Mandarin dataset show that the proposed model can achieve a 39.8% relative FRR reduction compared to the traditional Stacked 1D-CNN. With the second stage classifier, we are further able to reduce the FAR relatively by about 70%. In total, our proposed system significantly leads to a 62.1% relative FRR reduction at 0.1 false alarm per hour." @default.
- W4319779944 created "2023-02-11" @default.
- W4319779944 creator A5077231313 @default.
- W4319779944 creator A5083184776 @default.
- W4319779944 date "2022-12-11" @default.
- W4319779944 modified "2023-09-30" @default.
- W4319779944 title "Multi-Resolution Stacked 1D-CNN for Small-Footprint keyword Spotting with Two-Stage Detection" @default.
- W4319779944 cites W1995562189 @default.
- W4319779944 cites W2000654171 @default.
- W4319779944 cites W2034940213 @default.
- W4319779944 cites W2079735306 @default.
- W4319779944 cites W2147768505 @default.
- W4319779944 cites W2156431836 @default.
- W4319779944 cites W2401742120 @default.
- W4319779944 cites W2510945575 @default.
- W4319779944 cites W2550553598 @default.
- W4319779944 cites W2559260703 @default.
- W4319779944 cites W2631415506 @default.
- W4319779944 cites W2652238127 @default.
- W4319779944 cites W2748659049 @default.
- W4319779944 cites W2797759721 @default.
- W4319779944 cites W2889176648 @default.
- W4319779944 cites W2962707338 @default.
- W4319779944 cites W2963414149 @default.
- W4319779944 cites W3015273269 @default.
- W4319779944 doi "https://doi.org/10.1109/iscslp57327.2022.10038235" @default.
- W4319779944 hasPublicationYear "2022" @default.
- W4319779944 type Work @default.
- W4319779944 citedByCount "1" @default.
- W4319779944 countsByYear W43197799442023 @default.
- W4319779944 crossrefType "proceedings-article" @default.
- W4319779944 hasAuthorship W4319779944A5077231313 @default.
- W4319779944 hasAuthorship W4319779944A5083184776 @default.
- W4319779944 hasConcept C111335779 @default.
- W4319779944 hasConcept C11413529 @default.
- W4319779944 hasConcept C127413603 @default.
- W4319779944 hasConcept C132943942 @default.
- W4319779944 hasConcept C151730666 @default.
- W4319779944 hasConcept C153180895 @default.
- W4319779944 hasConcept C154945302 @default.
- W4319779944 hasConcept C21880701 @default.
- W4319779944 hasConcept C2524010 @default.
- W4319779944 hasConcept C2776836416 @default.
- W4319779944 hasConcept C2779506182 @default.
- W4319779944 hasConcept C2781213101 @default.
- W4319779944 hasConcept C3017905481 @default.
- W4319779944 hasConcept C33923547 @default.
- W4319779944 hasConcept C41008148 @default.
- W4319779944 hasConcept C45374587 @default.
- W4319779944 hasConcept C77052588 @default.
- W4319779944 hasConcept C81363708 @default.
- W4319779944 hasConcept C86803240 @default.
- W4319779944 hasConcept C95623464 @default.
- W4319779944 hasConceptScore W4319779944C111335779 @default.
- W4319779944 hasConceptScore W4319779944C11413529 @default.
- W4319779944 hasConceptScore W4319779944C127413603 @default.
- W4319779944 hasConceptScore W4319779944C132943942 @default.
- W4319779944 hasConceptScore W4319779944C151730666 @default.
- W4319779944 hasConceptScore W4319779944C153180895 @default.
- W4319779944 hasConceptScore W4319779944C154945302 @default.
- W4319779944 hasConceptScore W4319779944C21880701 @default.
- W4319779944 hasConceptScore W4319779944C2524010 @default.
- W4319779944 hasConceptScore W4319779944C2776836416 @default.
- W4319779944 hasConceptScore W4319779944C2779506182 @default.
- W4319779944 hasConceptScore W4319779944C2781213101 @default.
- W4319779944 hasConceptScore W4319779944C3017905481 @default.
- W4319779944 hasConceptScore W4319779944C33923547 @default.
- W4319779944 hasConceptScore W4319779944C41008148 @default.
- W4319779944 hasConceptScore W4319779944C45374587 @default.
- W4319779944 hasConceptScore W4319779944C77052588 @default.
- W4319779944 hasConceptScore W4319779944C81363708 @default.
- W4319779944 hasConceptScore W4319779944C86803240 @default.
- W4319779944 hasConceptScore W4319779944C95623464 @default.
- W4319779944 hasLocation W43197799441 @default.
- W4319779944 hasOpenAccess W4319779944 @default.
- W4319779944 hasPrimaryLocation W43197799441 @default.
- W4319779944 hasRelatedWork W2407023693 @default.
- W4319779944 hasRelatedWork W2510216776 @default.
- W4319779944 hasRelatedWork W2579479290 @default.
- W4319779944 hasRelatedWork W2742860341 @default.
- W4319779944 hasRelatedWork W2953219395 @default.
- W4319779944 hasRelatedWork W2995914718 @default.
- W4319779944 hasRelatedWork W3024903177 @default.
- W4319779944 hasRelatedWork W4205451850 @default.
- W4319779944 hasRelatedWork W4287777321 @default.
- W4319779944 hasRelatedWork W564581980 @default.
- W4319779944 isParatext "false" @default.
- W4319779944 isRetracted "false" @default.
- W4319779944 workType "article" @default.