Speech recognition device

TLDR: In this article, the authors proposed a speech recognition system for recognizing vowels and consonants according to myoelectric signals, which is based on the hidden Markov model.

Abstract: PROBLEM TO BE SOLVED: To provide a speech recognition device recognizing vowels and consonants according to myoelectric signals. SOLUTION: The speech recognition device 10 is equipped with: a myoelectric signal detecting section 101 which detects the myoelectric signals generated during an utterance action from a plurality of regions; an LPC analysis section 102 which separates and recognizes the respective detected myoelectric signals to spectrum envelope portions and fine change portions based on linear prediction coefficient analyses; a feature extraction section 103 which calculates the linear prediction coefficient cepstrum according to the separated and recognized spectrum envelope portions and calculates the myoelectric signal featured values by each of the channels corresponding to the regions based on the results of the calculation; a likelihood calculating section 106 which receives the myoelectric signal featured values by each of the calculated channels as input vectors and calculates the likelihood based on the hidden Markov model; and a speech recognition section 107 which specifies the speech corresponding to the utterance action based on the calculated likelihood. COPYRIGHT: (C)2005,JPO&NCIPI