DocumentCode
430844
Title
Speech recognition of monosyllables using hidden Markov model in VHDL
Author
Vaidhyanathan, A. ; LakshmiPrabha, V.
Author_Institution
Gov. Coll. of Technol., Coimbatore, India
Volume
A
fYear
2004
fDate
21-24 Nov. 2004
Firstpage
76
Abstract
The paper presented here, describes a real-time speech recognition chip for monosyllables such as A, B... etc. The chip is designed to recognize 4 monosyllables based on the hidden Markov model (HMM), which is a well-known speaker-independent recognition method. The chip accepts a short speech of 185.6 msec and outputs the 2-bit symbol code of the monosyllable. The input speech is divided in to 16 short frames of each 11.6 msec. Features of the speech are extracted from these 16 frames after spectral computations. HMM based speech recognition is done with these extracted features.
Keywords
feature extraction; hardware description languages; hidden Markov models; speaker recognition; 11.6 ms; 185.6 ms; 2-bit symbol code; HMM; VHDL; feature extraction; hidden Markov model; monosyllables; real-time speech recognition chip; speaker-independent recognition method; speech recognition; Hidden Markov models; Speech recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
TENCON 2004. 2004 IEEE Region 10 Conference
Print_ISBN
0-7803-8560-8
Type
conf
DOI
10.1109/TENCON.2004.1414360
Filename
1414360
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