A real-time Chinese speech recognition system with unlimited vocabulary

Authors:
Yuqing Gao;Taiyi Huang;Zhiwei Lin;Bo Xu;Dongxin Xu
Affiliations:
Inst. of Autom., Chinese Acad. of Sci., Beijing, China;Inst. of Autom., Chinese Acad. of Sci., Beijing, China;Inst. of Autom., Chinese Acad. of Sci., Beijing, China;Inst. of Autom., Chinese Acad. of Sci., Beijing, China;Inst. of Autom., Chinese Acad. of Sci., Beijing, China
Venue:
ICASSP '91 Proceedings of the Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference
Year:
1991

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Cited 1

A multilayer perceptron postprocessor to hidden Markov modeling for speech recognition

ICASSP'93 Proceedings of the 1993 IEEE international conference on Acoustics, speech, and signal processing: speech processing - Volume II

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Abstract

A Chinese speech recognizer with unlimited vocabulary is described. The system has two major components: the acoustic recognition component, which includes an HMM (hidden Markov model)-based phone recognizer, a NN (neural network)-based initial refiner, and a NN-based tone classifier; and the lexical and homonym processor, which is based on a knowledge database extracted from large amounts of texts. This real-time recognizer is implemented on a PC-386 enhanced by only one digital signal processing board on which a TMS-320c25 chip operates as the CPU. On average, it takes only 0.19 s to recognize a one-syllable word. The recognition accuracy for syllables, tones, and words is 92.5%, 99.6%, and 97.5%, respectively.