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Link to original content: https://doi.org/10.21437/ICSLP.1994-55
ISCA Archive - Chinese speech understanding and spelling-word translation based on the statistics of corpus
ISCA Archive ICSLP 1994
ISCA Archive ICSLP 1994

Chinese speech understanding and spelling-word translation based on the statistics of corpus

Jun Wu, Zuoying Wang, Jiasong Sun, Jin Guo

In this paper, a new natural language processing approach based on the statistics of corpus is proposed and has been successfully applied to THED-919 Chinese speech recognition system to eliminate acoustic recognition errors and to translate spellings into Chinese words. The accuracy rate of spelling-word translation of unrestricted text is 98.4% and 2/3 of acoustic recognition errors are eliminated. Keywords: Speech Recognition, Speech Understanding, Markov Chain, N-Gram Model.