DocumentCode :
1560758
Title :
An HMM-based speech recognition IC
Author :
Han, Wei ; Hon, Kwok-Wai ; Chan, Cheong-Fat ; Lee, Tan ; Choy, Chiu-Sing ; Pun, Kong-Pang ; Ching, P.C.
Author_Institution :
Dept. of Electron. Eng., Chinese Univ. of Hong Kong, Shatin, China
Volume :
2
fYear :
2003
Abstract :
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 20 MHz at 3.3 V. The recognition time is 0.5 s 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.
Keywords :
CMOS digital integrated circuits; VLSI; digital signal processing chips; hidden Markov models; speech recognition; speech recognition equipment; table lookup; 0.5 s; 20 MHz; 3.3 V; DSP; HMM-based speech recognition IC; hidden Markov model based recognizer; isolated word recognizer IC; table look-up technique; Automatic speech recognition; Circuit testing; Design engineering; Hidden Markov models; Integrated circuit modeling; Probability distribution; Semiconductor device measurement; Software libraries; Speech recognition; Viterbi algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 2003. ISCAS '03. Proceedings of the 2003 International Symposium on
Print_ISBN :
0-7803-7761-3
Type :
conf
DOI :
10.1109/ISCAS.2003.1206081
Filename :
1206081
Link To Document :
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