Timestamp-aligning and keyword-biasing end-to-end ASR front-end for a KWS system

Abstract Many end-to-end approaches have been proposed to detect predefined keywords. For scenarios of multi-keywords, there are still two bottlenecks that need to be resolved: (1) the distribution of important data that contains keyword(s) is sparse, and (2) the timestamps of the detected keywords...

詳細記述

書誌詳細

出版年:	EURASIP Journal on Audio, Speech, and Music Processing
主要な著者:	Gui-Xin Shi, Wei-Qiang Zhang, Guan-Bo Wang, Jing Zhao, Shu-Zhou Chai, Ze-Yu Zhao
フォーマット:	論文
言語:	英語
出版事項:	SpringerOpen 2021-07-01
主題:	OpenSAT20 End-to-end ASR End-to-end KWS Force alignment Biased loss
オンライン･アクセス:	https://doi.org/10.1186/s13636-021-00212-9