Title :
ATR HMM-LR continuous speech recognition system
Author :
Hanazawa, Toshiyuki ; Kita, Kenji ; Nakamura, Satoshi ; Kawabata, Takeshi ; Shikano, Kiyohiro
Author_Institution :
ATR Interpreting Telephony Res. Lab., Kyoto, Japan
Abstract :
An improvement of the hidden Markov model (HMM) LR continuous-speech recognizer using multiple codebooks, HMM state duration control and fuzzy vector quantization is described. The system recognizes Japanese phrases (Bunsetsu) according to a context-free grammar including 1035 words. In speaker-dependent conditions, a phrase recognition rate of 88.4% (99.0% for the top five candidates) was attained. The system was tested with speaker-adaptation based on a codebook mapping algorithm. An average speaker-adapted phrase recognition rate of 81.6% (98.8% for the top five candidates) was attained
Keywords :
knowledge based systems; speech analysis and processing; speech recognition; Bunsetsu; HMM state duration control; Japanese phrases; codebook mapping algorithm; context-free grammar; continuous speech recognition system; fuzzy vector quantization; hidden Markov model; multiple codebooks; phrase recognition rate; speaker-adaptation; speaker-dependent conditions; Control systems; Fuzzy control; Fuzzy systems; Hidden Markov models; Laboratories; Loudspeakers; Power system modeling; Speech recognition; System testing; Telephony; Vector quantization;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1990. ICASSP-90., 1990 International Conference on
Conference_Location :
Albuquerque, NM
DOI :
10.1109/ICASSP.1990.115535
