5th International Conference on Spoken Language Processing

Sydney, Australia
November 30 - December 4, 1998

A Four Layer Sharing HMM System For Very Large Vocabulary Isolated Word Recognition

Ruxin Chen, Miyuki Tanaka, Duanpei Wu, Lex Olorenshaw, Mariscela Amador

SONY Research Labs, San Jose, USA

This paper reports on a large vocabulary speaker independent isolated word recognizer targeting 50,000 words. The system supports a unique four-layer sharing structure for either continuous HMM or discrete HMM. Evaluation is performed using a dictionary of 5000 US city names, a dictionary of the 5000 English most frequent words, a dictionary of 50,000 English words, and the 110,000 word CMU English dictionary. For these dictionaries, recognition accuracy ranges from 90% to 93% for the top 3 results.

Full Paper

Bibliographic reference.  Chen, Ruxin / Tanaka, Miyuki / Wu, Duanpei / Olorenshaw, Lex / Amador, Mariscela (1998): "A four layer sharing HMM system for very large vocabulary isolated word recognition", In ICSLP-1998, paper 0583.