Howl: A Deployed, Open-Source Wake Word Detection System
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Abstract (arXiv)
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.
Key facts. Cited by 6 papers in the map (data through 14 Oct 2026). First posted on arXiv 21 Aug 2020.
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Citing papers per year: 2021: 4; 2022: 1; 2023: 0; 2024: 0; 2025: 0; 2026: 1.
6 papers.
- 2021Deep Spoken Keyword Spotting: An Overviewcited by 43
- 2021Learning Efficient Representations for Keyword Spotting with Triplet Losscited by 24
- 2021Teaching keyword spotters to spot new keywords with limited examplescited by 9
- 2022QbyE-MLPMixer: Query-by-Example Open-Vocabulary Keyword Spotting using MLPMixercited by 4
- 2021EfficientWord-Net: An Open Source Hotword Detection Engine based on One-shot Learningcited by 3
- 2026Training Intelligent Voice Assistant Wakeup with Controllable Synthetic Conversationscited by 0
- 2026Training Intelligent Voice Assistant Wakeup with Controllable Synthetic Conversations22 Sep 2026
- 2022QbyE-MLPMixer: Query-by-Example Open-Vocabulary Keyword Spotting using MLPMixer23 Jun 2022
- 2021Deep Spoken Keyword Spotting: An Overview20 Nov 2021
- 2021EfficientWord-Net: An Open Source Hotword Detection Engine based on One-shot Learning31 Oct 2021
- 2021Teaching keyword spotters to spot new keywords with limited examples4 Jun 2021
- 2021Learning Efficient Representations for Keyword Spotting with Triplet Loss12 Jan 2021