Papers › Howl: A Deployed, Open-Source Wake Word Detection System

Howl: A Deployed, Open-Source Wake Word Detection System

21 Aug 2020EMNLP (NLPOSS) 2020 11arXiv:2008.09606archive 2025-07-28

Raphael Tang, Jaejun Lee, Afsaneh Razi, Julia Cambre, Ian Bicking, Jofish Kaye, Jimmy Lin

We describe Howl, an open-source wake word detection toolkit with native support for open speech datasets, like Mozilla Common Voice and Google Speech Commands. We report benchmark results on Speech Commands and our own freely available wake word detection dataset, built from MCV. We operationalize our system for Firefox Voice, a plugin enabling speech interactivity for the Firefox web browser. Howl represents, to the best of our knowledge, the first fully productionized yet open-source wake word detection toolkit with a web browser deployment target. Our codebase is at https://github.com/castorini/howl.

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castorini/howl officialmentioned in paperpytorch report
solyarisoftware/WeBAD mentioned on GitHub report

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Keyword Spotting

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
Keyword Spotting Google Speech Commands res 8 Google Speech Commands V1 12 97.8 #4 of 42 Archive leaderboard report

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