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Computer Engineering ›› 2010, Vol. 36 ›› Issue (10): 276-278. doi: 10.3969/j.issn.1000-3428.2010.10.096

• Networks and Communications • Previous Articles     Next Articles

Pitch Extraction Based on Wavelet Transformation nd Linear Prediction

LI Kun1, LIU Jia1,2   

  1. (1. Department of Electronic Engineering, Tsinghua University, Beijing 100084;2. Tsinghua National Laboratory for Information Science and Technology, Beijing 100084)
  • Online:2010-05-20 Published:2010-05-20

基于小波变换和线性预测的基音提取

李 坤1,刘 加1,2   

  1. (1. 清华大学电子工程系,北京 100084;2. 清华信息科学与技术国家实验室(筹),北京 100084)

Abstract: To effectively extract the pitch period, an improved wavelet transformation method is presented. On basis of wavelet filter, the frequency multiplication suppressed coefficients are added to remove most of the frequency multiplication errors. According to the voice, the system combines the linear prediction, which has a suitable order adjusting to the speech, to remove the format interference, while avoiding excessive damage to the pitch. Experimental results show the accuracy rate of the method is 97.8% at quite environment, and when the SNR is 0 dB, the one of it is 91.1%. The system has a good accuracy, robustness, and noise immunity.

Key words: pitch extraction, avelet transformation, linear prediction

摘要: To effectively extract the pitch period, an improved wavelet transformation method is presented. On basis of wavelet filter, the frequency multiplication suppressed coefficients are added to remove most of the frequency multiplication errors. According to the voice, the system combines the linear prediction, which has a suitable order adjusting to the speech, to remove the format interference, while avoiding excessive damage to the pitch. Experimental results show the accuracy rate of the method is 97.8% at quite environment, and when the SNR is 0 dB, the one of it is 91.1%. The system has a good accuracy, robustness, and noise immunity.

关键词: pitch extraction, wavelet transformation, inear prediction

CLC Number: