Title :
Chinese large-vocabulary name recognition system using character description and syllable spelling recognition
Author :
Wang, Nick J C ; Tsai, Ching-Ho ; Huang, Patrick ; Shen, Jia-Lin
Author_Institution :
Dept. of Man-Machine Interface, Delta Electron. Inc., Taipei, Taiwan
Abstract :
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.
Keywords :
finite state machines; graph theory; interactive systems; speech recognition; vocabulary; Chinese speech recognition; automatic directory assistance systems; character description recognition; graph-structured syllable lexicon; interactive framework; large-vocabulary name recognition; long-list automatic attendant systems; robust finite-state recognizer; syllable spelling recognition; system-initiative dialogue system; word recognition; Automatic speech recognition; Character recognition; Modems; Natural languages; Research and development; Robustness; Shape; Speech recognition; User interfaces; Writing;
Conference_Titel :
Chinese Spoken Language Processing, 2004 International Symposium on
Print_ISBN :
0-7803-8678-7
DOI :
10.1109/CHINSL.2004.1409575