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Multi-layer Attention Mechanism for Speech Keyword Recognition
The key idea is that, in addition to the conventional attention mechanism, information of layers prior to feature extraction and LSTM are introduced into attention weights calculations.
Ranked #4 on
Keyword Spotting
on Google Speech Commands
(Google Speech Commands V2 20 metric)
Scalar Quantization as Sparse Least Square Optimization
Furthermore, to compute quantization results with a given amount of values/clusters, this paper designed an iterative method and a clustering-based method, and both of them are built on sparse least square.
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