Abstract:This paper presents a tone recognizer for Mandarin speech using a combination of wavelet transforming and hiddefi Markov modeling techniques. The evaluation of pitch periods is exactly performed by a pitch detector which is based on the singularity detection of signal and multiresolution analysis with wavelet transform. The hidden Markov models with partitioned Gaussian mixtures(PGM) are used for tone recognition. In implementing the Viterbi algorithm for HMM s, a recursive relation is derived to improve th...
程俊; 易克初; 李兵兵. 一种基于小波变换和隐Markov模型的声调识别方法[J]. 电子与信息学报, 1997, 19(2): 177-182 .
Cheng Jun; Yi kechu; Li Bingbing. A TONE RECOGNIZER USING WAVELET TRANSFORM AND HIDDEN MARKOV MODEL. , 1997, 19(2): 177-182 .