HelloNPU: A corpus for small-footprint wake-up word detection research

Senmao Wang, Jingyong Hou, Lei Xie, Yufeng Hao

科研成果: 书/报告/会议事项章节会议稿件同行评审

1 引用 (Scopus)

摘要

As the first very step to activate speech interfaces, wake-up word detection aims to achieve a fully hand-free experience by detecting a specific word or phrase to activate the speech recognition and understanding modules. The task usually requires low-latency, highly accurate, small-footprint and easily migratory to power limited environment. In this paper, we describe the creation of HelloNPU, a publicly-available corpus that provides a common testbed to facilitate wake-up word detection research. We also introduce some baseline experimental results on this proposed corpus using the deep KWS approach. We hope the release of this corpus can trigger more studies on small-footprint wake-up word detection.

源语言英语
主期刊名Man-Machine Speech Communication - 14th National Conference, NCMMSC 2017, Revised Selected Papers
编辑Ya Li, Thomas Fang Zheng, Changchun Bao, Dong Wang, Jianhua Tao
出版商Springer Verlag
70-79
页数10
ISBN(印刷版)9789811081101
DOI
出版状态已出版 - 2018
活动14th National Conference on Man-Machine Speech Communication, NCMMSC 2017 - Lianyungang, 中国
期限: 11 10月 201713 10月 2017

出版系列

姓名Communications in Computer and Information Science
807
ISSN(印刷版)1865-0929

会议

会议14th National Conference on Man-Machine Speech Communication, NCMMSC 2017
国家/地区中国
Lianyungang
时期11/10/1713/10/17

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