Title :
The study of recognition of isolate monosyllable Chinese speech using VQ and HMM
Author :
Mao, Weihua ; Wu, Wenhu
Author_Institution :
Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing, China
Abstract :
A way of recognizing monosyllable Chinese words using the method of vector quantization (VQ) and a hidden Markov model (HMM) is described. The theories of vector quantization and hidden Markov models are reviewed and studied the way they are used in recognizing monosyllable Chinese speech. Special attention was paid to sample program in order to obtain as much information as possible. A test was conducted on a small vocabulary containing thirty monosyllable Chinese words which have exactly the same compound vowel. The classification accuracy obtained is about 85% compared with the traditional DTW (decoder timing waveform), method which is not more than 60%
Keywords :
Markov processes; speech recognition; classification accuracy; compound vowel; decoder timing waveform; hidden Markov model; monosyllable Chinese words; speech recognition; vector quantization; Acoustics; Automatic speech recognition; Frequency; Hidden Markov models; Isolation technology; Laboratories; Probability; Speech recognition; Vector quantization; Vocabulary;
Conference_Titel :
Pattern Recognition, 1988., 9th International Conference on
Conference_Location :
Rome
Print_ISBN :
0-8186-0878-1
DOI :
10.1109/ICPR.1988.28351
