Honk: A PyTorch Reimplementation of Convolutional Neural Networks for Keyword Spotting

Raphael Tang; Jimmy Lin

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arXiv · 1710.06554

Honk: A PyTorch Reimplementation of Convolutional Neural Networks for Keyword Spotting

Raphael Tang·Jimmy Lin

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Abstract

We describe Honk, an open-source PyTorch reimplementation of convolutional neural networks for keyword spotting that are included as examples in TensorFlow. These models are useful for recognizing "command triggers" in speech-based interfaces (e.g., "Hey Siri"), which serve as explicit cues for audio recordings of utterances that are sent to the cloud for full speech recognition. Evaluation on Google's recently released Speech Commands Dataset shows that our reimplementation is comparable in accuracy and provides a starting point for future work on the keyword spotting task.

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Raphael Tang, Jimmy Lin. 2017-10-18. Honk: A PyTorch Reimplementation of Convolutional Neural Networks for Keyword Spotting. https://arxiv.org/abs/1710.06554

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