Query-by-Example Keyword Spotting system using Multi-head Attention and Softtriple Loss

This paper proposes a neural network architecture for tackling the query-by-example user-defined keyword spotting task. A multi-head attention module is added on top of a multi-layered GRU for effective feature extraction, and a normalized multi-head attention module is proposed for feature aggregation... (read more)

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Methods used in the Paper


METHOD TYPE
Softmax
Output Functions
Multi-Head Attention
Attention Modules
GRU
Recurrent Neural Networks
Triplet Loss
Loss Functions