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Speech recognition based on fuzzy vector quantization and fuzzy logic | IEEE Conference Publication | IEEE Xplore

Speech recognition based on fuzzy vector quantization and fuzzy logic


Abstract:

This paper investigates the use of fuzzy segment matrix vector quantization (FSMVQ) and fuzzy logic recognizer (FLR) for speech recognition. Unlike the standard VQ, the f...Show More

Abstract:

This paper investigates the use of fuzzy segment matrix vector quantization (FSMVQ) and fuzzy logic recognizer (FLR) for speech recognition. Unlike the standard VQ, the fuzzy vector quantization (FVQ) makes a soft decision, generates a output vector whose components represent the degree to which each codeword matches the input vector. Because of this soft decision, quantization error can be reduced and some of recognition error can be remedied. The FSMVQ and FLR based recognition system requires a lesser amount of training data and have good generalization for untrained data.
Date of Conference: 27 November 1995 - 01 December 1995
Date Added to IEEE Xplore: 06 August 2002
Print ISBN:0-7803-2768-3
Conference Location: Perth, WA, Australia

References

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