DocumentCode :
1910114
Title :
Improvements and applications for key word recognition using hidden Markov modeling techniques
Author :
Wilpon, J.G. ; Miller, L.G. ; Modi, P.
Author_Institution :
AT&T Bell Labs., Murray Hill, NJ, USA
fYear :
1991
fDate :
14-17 Apr 1991
Firstpage :
309
Abstract :
A hidden Markov model based key wordspotting algorithm developed previously can recognize key words from a predefined vocabulary list spoken in an unconstrained fashion. Improvements in the feature analysis used to represent the speech signal and modeling techniques used to train the system are explored. The authors discuss several task domain issues which influence evaluation criteria. They present results from extensive evaluations on three speaker independent databases: the 20 word vocabulary Stonehenge Road Rally database, distributed by the National Security Agency, a five word vocabulary used to automate operator-assisted calls, and a three word Spanish vocabulary that is currently being tested in Spain´s telephone network. Currently, recognition accuracies range from 99.9% on the Spanish database to 74% (with 8.8 FA/H/W) on the Stonehenge task
Keywords :
Markov processes; speech recognition; Stonehenge Road Rally database; automated telephone operator; evaluation criteria; feature analysis; hidden Markov modeling; key word recognition; key wordspotting algorithm; predefined vocabulary list; recognition accuracies; speaker independent databases; speech recognition; three word Spanish vocabulary; Cepstral analysis; Distributed databases; Hidden Markov models; Protocols; Signal analysis; Spatial databases; Speech analysis; Speech recognition; Telephony; Vocabulary;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference on
Conference_Location :
Toronto, Ont.
ISSN :
1520-6149
Print_ISBN :
0-7803-0003-3
Type :
conf
DOI :
10.1109/ICASSP.1991.150338
Filename :
150338
Link To Document :
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