Title :
Postprocessor using fuzzy vector quantiser in HMM-based speech recognition
Author :
Kim, H.R. ; Lee, Hwang Soo
Author_Institution :
Dept. of Electr. Eng., Korea Adv. Inst. of Sci. & Technol., Seoul, South Korea
Abstract :
A postprocessor using fuzzy vector quantisation (FVQ) in HMM-based speech recognition is presented. A method to reduce the amount of computation in the FVQ postprocessor is also proposed. The proposed method results in a higher recognition rate with almost the same amount of computation compared to the conventional Viterbi scoring method.
Keywords :
Markov processes; fuzzy logic; quantisation; speech recognition; FVQ; HMM-based speech recognition; fuzzy vector quantiser; hidden Markov model; postprocessor; recognition rate;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:19911238
