An HMM-based speech recognition IC

被引：0
|
作者：
Han, W [1 ]
Hon, KW [1 ]
Chan, CF [1 ]
Lee, T [1 ]
Choy, CS [1 ]
Pun, KP [1 ]
Ching, PC [1 ]
机构：
[1] Chinese Univ Hong Kong, Dept Elect Engn, Shatin, Hong Kong, Peoples R China
来源：
PROCEEDINGS OF THE 2003 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOL II: COMMUNICATIONS-MULTIMEDIA SYSTEMS & APPLICATIONS | 2003年
关键词：
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper presents the design, simulation and measurement results of a Hidden Markov Model (HMM) based isolated word recognizer IC with double mixtures. Table look-up technique is employed in this design. The chip operates at 20MHz at 3.3V. The recognition time is 0.5 sec for a 50-word speech library. The speech IC has been verified with 467 test speech data and the recognition accuracy is 93.8%. A reference software recognizer using the same algorithm and speech library has a recognition accuracy of 94.2%. The new speech IC that uses a table look up to reduce the complexity of the circuit has approximately the same recognition accuracy as an ideal software recognizer.
引用
收藏
页码：744 / 747
页数：4
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