DocumentCode :
3063597
Title :
A real time speaker-independent continuous speech recognition system
Author :
Iwasaki, Tomohiro ; Nakajima, Kunio
Author_Institution :
Comput. & Inf. Syst. Lab., Mitsubishi Electric Corp., Kamakura, Japan
fYear :
1992
fDate :
30 Aug-3 Sep 1992
Firstpage :
663
Lastpage :
666
Abstract :
Reports on the speaker-independent continuous speech recognition system with speaker adaptation. This system is based on continuous HMM with mixture Gaussian distribution, and several fast algorithms are applied for real time calculation. To reduce HMM states, the system uses the mono-state context dependent model, called acoustic phonetic segment. The calculation of mixture Gaussian distributions is reduced, by varying the number of mixtures dynamically. The fast Viterbi calculation algorithm with duration control is used. The system has been successfully implemented as a man-machine interface of the plant control expert system, achieving sentence accuracy of 98.7%
Keywords :
hidden Markov models; real-time systems; speech recognition equipment; HMM; acoustic phonetic segment; fast Viterbi calculation algorithm; hidden Markov models; man-machine interface; mixture Gaussian distribution; real time systems; speaker adaptation; speaker-independent continuous speech recognition system; Context modeling; Control systems; Expert systems; Gaussian distribution; Hidden Markov models; Loudspeakers; Real time systems; Speech recognition; User interfaces; Viterbi algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 1992. Vol.III. Conference C: Image, Speech and Signal Analysis, Proceedings., 11th IAPR International Conference on
Conference_Location :
The Hague
Print_ISBN :
0-8186-2920-7
Type :
conf
DOI :
10.1109/ICPR.1992.202073
Filename :
202073
Link To Document :
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