arXiv:2008.09606
공식 코드 · Papers with Code
Howl: A Deployed, Open-Source Wake Word Detection System
원문 초록
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.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
Advances in Small-Footprint Keyword Spotting: A Comprehensive Review of Efficient Models and Algorithms
GLAP: General contrastive audio-text pretraining across domains and languages
Chameleon: A MatMul-Free Temporal Convolutional Network Accelerator for End-to-End Few-Shot and Continual Learning from Sequential Data
MFA-KWS: Effective Keyword Spotting with Multi-head Frame-asynchronous Decoding
AfriHate: A Multilingual Collection of Hate Speech and Abusive Language Datasets for African Languages
Audio Explanation Synthesis with Generative Foundation Models
토론
이 논문과 연결된 포럼 글이 아직 없습니다.