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

Autor:	Tang, Raphael, Lee, Jaejun, Razi, Afsaneh, Cambre, Julia, Bicking, Ian, Kaye, Jofish, Lin, Jimmy
Rok vydání:	2020
Předmět:	Computer Science - Computation and Language Computer Science - Machine Learning
Druh dokumentu:	Working Paper
Popis:	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. Comment: The first two authors contributed equally
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2008.09606 Zobrazit plný text záznamu View this record from Arxiv