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

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

中图分类号: 

• N945