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Domain Aware Training for Far-field Small-footprint Keyword Spotting
[article]
2020
arXiv
pre-print
In this paper, we focus on the task of small-footprint keyword spotting under the far-field scenario. Far-field environments are commonly encountered in real-life speech applications, causing severe degradation of performance due to room reverberation and various kinds of noises. Our baseline system is built on the convolutional neural network trained with pooled data of both far-field and close-talking speech. To cope with the distortions, we develop three domain aware training systems,
arXiv:2005.03633v3
fatcat:af7cezrqlreg5ltl2ciwcaqjju