Morphological filter and Daubechies wavelet pitch detection

This paper presents a new method for pitch detection of secondary spectrum, the generalized mathematical morphological filtering combined with the Daubechies wavelet preprocessing as pitch detection, this method is the linear filter and nonlinear filter combination of a new attempt. Experimental results show that the method can be compared with the traditional autocorrelation and cepstrum better results, especially Voicing obvious segment features, better performance of pitch detection in low SNR noisy speech sound Environment also has good robustness.