Pitch detection method for noisy speech signals based on pre-filter and weighted wavelet coefficients

Abstract

Most of the current pitch detection algorithms can not work well under the high noise environment. For this reason, a pitch detection algorithm for noisy speech signal based on pre-filtering and weighted wavelet coefficients is proposed. Firstly, the noisy speech signals are pre-filtered. Secondly, the speech pre-filtered is decomposed by the quadratic spline wavelet. Thirdly, the wavelet coefficients of three consecutive scales are weighted to emphasize the sharp change points. Fourthly, three candidate pitch periods are extracted from the weighted signals. Finally, the pitch period is calculated by autocorrelation function. Experiments show that this algorithm can increase the performance of pitch detection in noisy environment and decreases computational complexity compared with DWT-NCCF method.