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.
Cite as: Chen, R., Tanaka, M., Wu, D., Olorenshaw, L., Amador, M. (1998) A four layer sharing HMM system for very large vocabulary isolated word recognition. Proc. 5th International Conference on Spoken Language Processing (ICSLP 1998), paper 0583, doi: 10.21437/ICSLP.1998-284
@inproceedings{chen98b_icslp,
author={Ruxin Chen and Miyuki Tanaka and Duanpei Wu and Lex Olorenshaw and Mariscela Amador},
title={{A four layer sharing HMM system for very large vocabulary isolated word recognition}},
year=1998,
booktitle={Proc. 5th International Conference on Spoken Language Processing (ICSLP 1998)},
pages={paper 0583},
doi={10.21437/ICSLP.1998-284}
}