NDLI: A one-pass strategy for keyword spotting and verification

Content Provider	IEEE Xplore Digital Library
Author	Lai, C.S. Shi, B.E.
Copyright Year	2001
Description	Author affiliation: Dept. of Electr. & Electron. Eng., Hong Kong Univ. of Sci. & Technol., Kowloon, China (Lai, C.S.)
Abstract	One common method for keyword spotting in unconstrained speech is based upon a two pass strategy consisting of Viterbi-decoding to detect and segment possible keyword hits, followed by the computation of a confidence measure to verify those hits. In this paper, we propose a simple one-pass strategy where computation of the confidence measure is computed simultaneously with a Viterbi-like decoding stage. However, backtracking is not required, which when coupled with the need for only a single pass through the utterance significantly reduces the memory requirements of this algorithm. This feature makes it well suited for devices where processing power and memory are limited. Experimental results on a connected digits task show that performance of the decoding is comparable to that using a Viterbi search with backtracking. Experimental results on spotting days of the week in continuous speech indicate that the confidence measure calculated is effective in reducing the number of false alarms.
Sponsorship	IEEE Signal Process. Soc
Starting Page	377
Ending Page	380
File Size	337225
Page Count	4
File Format	PDF
ISBN	0780370414
ISSN	15206149
DOI	10.1109/ICASSP.2001.940846
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2001-05-07
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Hidden Markov models Speech Decoding Viterbi algorithm Natural languages Electric variables measurement
Content Type	Text
Resource Type	Article

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