Pitch Detection Method for Noisy Speech Signals Based on Pre-Filter and Weighted Wavelet coefficients

摘要：

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.

作者: Ru-wei LI Chang-chun BAO Hui-jing DOU

作者单位: Speech and Audio Signal Processing Lab,School of Electronic Information and Control Engineering,Beijing University of Technology,Beijing 100124,China

会议类型: 国际会议

会议名称: 9th International Conference on Signal Processing(第九届国际信号处理学术会议)(ICSP08)

会议地点: 北京

会议语种:英文

在线出版日期: 2008-10-26（万方平台首次上网日期，不代表论文的发表时间）