Noise robust pitch detection based on extended AMDF

Department of Computer Engineering, College of Computer and Information Sciences King Saud University, P.O. Box: 51178, Riyadh 11543, Saudi ArabiaThis paper introduces a new extended average magnitude difference function (EAMDF) for noise robust pitch detection. EAMDF involves in sufficient number of averaging for all lag values compared to the original AMDF,and thereby eliminates the falling tendency of the AMDF without emphasizing pitch harmonics at higher lags, which is a severe limitation of other existing improvements of the AMDF. A noise robust post processing that explores the contribution of each frequency channel is also presented.Experimental results on Keele pitch database in different noise level shows the superiority of the proposed EAMDF based pitch detection method over other methods based on AMDF