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Mining Effective Negative Training Samples For Keyword Spotting

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IEEE ICASSP 2020 Virtual Conference May 2020

Max-pooling neural network architectures have been proven to be useful for keyword spotting (KWS), but standard training methods suffer from a class-imbalance problem when using all frames from negative utterances. To address the problem, we propose an in

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Mining Effective Negative Training Samples For Keyword Spotting

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Max-pooling neural network architectures have been proven to be useful for keyword spotting (KWS), but standard training methods suffer from a class-imbalance problem when using all frames from negative utterances. To address the problem, we propose an in