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We describe Honk, an open-source PyTorch reimplementation of convolutionalneural networks for keyword spotting that are included as examples inTensorFlow. These models are useful for recognizing "command triggers" inspeech-based interfaces (e.g., "Hey Siri"), which serve as explicit cues foraudio recordings of utterances that are sent to the cloud for full speechrecognition. Evaluation on Google's recently released Speech Commands Datasetshows that our reimplementation is comparable in accuracy and provides astarting point for future work on the keyword spotting task.

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