Title :
A large vocabulary word recognition system based on syllable recognition and nonlinear word matching
Author :
Matsu´ura, Hiroshi ; Nitta, Tsuneo ; Hirai, Shoichi ; Takebayashi, Yoichi ; Tsuboi, Hiroyuki ; Kanazawa, Hiroshi
Author_Institution :
Toshiba Corp., Kawasaki City, Japan
Abstract :
A practical Japanese large-vocabulary recognition system that is speaker-adaptive has been developed. The system has to notable features. The first is low-cost hardware which can realise the precise syllable recognition and the high speed speaker-adaptation using the Karhunen-Loeve expansion. The second is nonlinear word matching which deals with syllable addition and deletion, and reduces the restriction on acceptable utterances. The system has been applied to data entry systems such as train-station-names, family-names, and given-names input and also to a map data search task in which place names were verified. Recognition experiments have been carried out on a 2000-word vocabulary. The word-recognition rate was 93.7% for 1000 utterances by five male speakers
Keywords :
speech recognition; Japanese; Karhunen-Loeve expansion; acceptable utterances; data entry systems; family-names; large vocabulary word recognition system; male speakers; map data search task; nonlinear word matching; place names; speech recognition; syllable addition; syllable recognition; train-station-names; Band pass filters; Character recognition; Covariance matrix; Hardware; Optical character recognition software; Optical noise; Pattern recognition; Research and development; Speech recognition; Vocabulary;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1988. ICASSP-88., 1988 International Conference on
Conference_Location :
New York, NY
DOI :
10.1109/ICASSP.1988.196543
