The large-vocabulary name recognition technique is one of the challenging tasks in the application of Chinese speech recognition technology. It can be applied on long-list automatic attendant systems and automatic directory assistance systems. A Chinese name has usually two to three characters with each character pronounced as a single syllable. It is a high perplexity task to recognize a word from a long-list of candidates, like more than three hundred thousand unique names in our experiments, given a very short utterance like one to two seconds of speech. Two novel approaches under an interactive framework are proposed in this paper to aid the recognition of a Chinese name: Character Description Recognition (CDR) and Syllable Spelling Recognition (SSR). Together with our robust finite-state recognizer given a graph-structured syllable lexicon for the full names, we achieved a very promising name recognition success rate, 94.5%, in our system-initiative dialogue system.
Cite as: Wang, N.J., Tsai, C., Huang, P., Shen, J. (2004) Chinese Large-Vocabulary Name Recognition System using Character Description and Syllable Spelling Recognition. Proc. International Symposium on Chinese Spoken Language Processing, 17-20
@inproceedings{wang04b_iscslp,
author={Nick JuiChang Wang and ChingHo Tsai and Patrick Huang and JiaLin Shen},
title={{Chinese Large-Vocabulary Name Recognition System using Character Description and Syllable Spelling Recognition}},
year=2004,
booktitle={Proc. International Symposium on Chinese Spoken Language Processing},
pages={17--20}
}