[1]ZHANG Lei,CHEN Jing,XIANG Xue-zhi,et al.Research of keyword spotting based on a keyword spotting confusion network[J].CAAI Transactions on Intelligent Systems,2010,5(5):432-435.[doi:10.3969/j.issn.1673-4785.2010.05.009]
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Research of keyword spotting based on a keyword spotting confusion network

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 5 Number of periods: 2010 5 Page number: 432-435 Column: 学术论文—自然语言处理与理解 Public date: 2010-10-25
Title:
Research of keyword spotting based on a keyword spotting confusion network
Author(s):
ZHANG Lei;  CHEN Jing;  XIANG Xue-zhi;  JIA Mei-mei
College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China
Keywords:
keyword spotting;  confusion network;  speech recognition
CLC:
TP391；TN912
DOI:
10.3969/j.issn.1673-4785.2010.05.009
Abstract:
In order to achieve a higher keyword recall rate from large vocabulary continuous speech recognition (LVCSR) and minimize the word error rate, a confusion network was used in a keyword spotting system. Moreover, an improved method of generating a keyword confusion network which was more suitable for keyword spotting was proposed based on the traditional algorithm. This method only focused on keyword competitions, and was capable of transforming all the keyword competitions into a confusion network with a marked score, and highlighted competitions to all the candidates. Compared with the traditional keyword spotting system which uses N-best as the medium structure, the proposed method increased the recall rate of confusion network to 87.11%; compared with the keyword spotting system based on N-best, there is a 21.65% improvement in the recall rate. Experiments show the proposed method could locate keywords directly, besides increasing the recall rate, so the system costs less time.
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