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VLSI Signal Processing. 01/2007; 47:223-232.
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ABSTRACT: A hidden Markov model (HMM) based isolated word recognizer IC is presented in this paper. The test chip was fabricated with a 0.35 μm CMOS technology. In this design double-mixture probability density and table look-up method are employed. The chip can operate at 20MHz at 3.3V and at this frequency the recognition time is 0.5 sec for a 50-word speech library. Tested with 353 speech data from AURORA 2 databases, the chip's recognition accuracy is 93.8%. This new IC can be used in Cantonese speech recognition.
ASIC, 2003. Proceedings. 5th International Conference on; 11/2003
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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.
Circuits and Systems, 2003. ISCAS '03. Proceedings of the 2003 International Symposium on; 06/2003
