Estimation of Harmonic and Noise Components from Pathological Voice using Iterative Method

Author

Jo, Cheolwoo ; Li, Tao ; Wang, Jianglin

Author_Institution

Sch. of Mechatronics, Changwon Nat. Univ.

fYear

2006

Firstpage

4678

Lastpage

4681

Abstract

The aim of this paper is to analyze and discriminate the pathological voice by separating signal into periodic and aperiodic parts. Separation was performed recursively from the residual signal of voice signal. Based on initial estimation of aperiodic part of spectrum, aperiodic part is decided from the extrapolation method. Periodic part is decided by subtracting aperiodic part from the original spectrum. A parameter HNR is derived based on the separation. Parameter value statistics are compared with those of Jitter and Shimmer for normal, benign and malignant cases

Keywords

cancer; extrapolation; harmonics; iterative methods; medical signal processing; noise; source separation; speech; speech processing; HNR; aperiodic parts; benign case; extrapolation method; harmonic component; iterative method; malignant case; noise component; parameter value statistics; pathological voice; periodic signal; recursive; signal separation; Biomedical engineering; Cancer; Electronic switching systems; Frequency domain analysis; Harmonic analysis; Iterative methods; Jitter; Pathology; Speech analysis; Time domain analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the

Conference_Location

Shanghai

Print_ISBN

0-7803-8741-4

Type

conf

DOI

10.1109/IEMBS.2005.1615514

Filename

1615514