Honk: A PyTorch Reimplementation of Convolutional Neural Networks for Keyword Spotting
October 18, 2017 ยท Declared Dead ยท ๐ arXiv.org
"No code URL or promise found in abstract"
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Authors
Raphael Tang, Jimmy Lin
arXiv ID
1710.06554
Category
cs.CL: Computation & Language
Citations
36
Venue
arXiv.org
Last Checked
4 months ago
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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