Speech recognition of monosyllables using hidden Markov model in VHDL

被引：0
|
作者：
Vaidhyanathan, A [1 ]
Lakshmiprabha, V [1 ]
机构：
[1] Govt Coll Technol, Tamil Nadu 6410103, India
来源：
TENCON 2004 - 2004 IEEE REGION 10 CONFERENCE, VOLS A-D, PROCEEDINGS: ANALOG AND DIGITAL TECHNIQUES IN ELECTRICAL ENGINEERING | 2004年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The paper presented here, descries 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.
引用
收藏
页码：A76 / A79
页数：4
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