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20182020
most citedSub-band Convolutional Neural Networks for Small-footprint Spoken Term Classification

2 citations · 3 across the 4 of their papers we have counts for

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Showing 2020Show all

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eess.AS2020

On Front-end Gain Invariant Modeling for Wake Word Spotting

Yixin Gao, Noah D. Stein, Chieh-Chi Kao +4

Wake word (WW) spotting is challenging in far-field due to the complexities and variations in acoustic conditions and the environmental interference in signal transmission. A suite…

eess.AS2020★ 1 cited

Towards Data-efficient Modeling for Wake Word Spotting

Yixin Gao, Yuriy Mishchenko, Anish Shah +2

Wake word (WW) spotting is challenging in far-field not only because of the interference in signal transmission but also the complexity in acoustic environments. Traditional WW mod…