Introduces multi-layer attention for keyword spotting that incorporates pre-extraction layer information to reduce bias in LSTM attention weights, reporting favorable results versus CNN and bi-LSTM baselines on Google Speech Commands V2.
LSTM Neural Networks for Language Modeling[C]// 13th Annual Conference of the International Speech Communication Association
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Multi-layer Attention Mechanism for Speech Keyword Recognition
Introduces multi-layer attention for keyword spotting that incorporates pre-extraction layer information to reduce bias in LSTM attention weights, reporting favorable results versus CNN and bi-LSTM baselines on Google Speech Commands V2.