Title :
Noise Robust Pitch Detection Based on Extended AMDF
Author :
Muhammad, Ghulam
Author_Institution :
Dept. of Comput. Eng., King Saud Univ., Riyadh
Abstract :
This 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.
Keywords :
signal detection; speech processing; average magnitude difference function; extended AMDF; frequency channel; noise robust pitch detection; noise robust post processing; speech processing; Databases; Detection algorithms; Educational institutions; Frequency; Noise level; Noise robustness; Power harmonic filters; Signal to noise ratio; Smoothing methods; Speech; AMDF; EAMDF; noise robust; pitch detection;
Conference_Titel :
Signal Processing and Information Technology, 2008. ISSPIT 2008. IEEE International Symposium on
Conference_Location :
Sarajevo
Print_ISBN :
978-1-4244-3554-8
Electronic_ISBN :
978-1-4244-3555-5
DOI :
10.1109/ISSPIT.2008.4775670