DocumentCode
3420170
Title
Combination of two methods for isolated word speech recognition
Author
Savage, Jesus ; Holden, A.
Author_Institution
Human Interface Technology Lab., Washington Univ., Seattle, WA, USA
fYear
1992
fDate
1-3 Sep 1992
Firstpage
129
Lastpage
136
Abstract
The authors present a method for isolated word speech recognition combining hidden Markov models (HMM) and multisection vector quantization (MSVQ) code books techniques. The use of these two techniques together enables the system to correct half of the wrong decisions made when only one technique is used. This system was implemented on a digital signal microprocessor (DSP), and is operating in real time. This system will be used in a virtual reality environment
Keywords
Markov processes; digital signal processing chips; speech coding; speech recognition; vector quantisation; virtual reality; DSP; digital signal microprocessor; hidden Markov models; isolated word speech recognition; multisection vector quantization code books; virtual reality environment; Books; Distortion measurement; Filters; Hidden Markov models; Humans; Isolation technology; Linear predictive coding; Shape measurement; Speech recognition; Vector quantization;
fLanguage
English
Publisher
ieee
Conference_Titel
Robot and Human Communication, 1992. Proceedings., IEEE International Workshop on
Conference_Location
Tokyo
Print_ISBN
0-7803-0753-4
Type
conf
DOI
10.1109/ROMAN.1992.253928
Filename
253928
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