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

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.

Disordered voice evaluation based on correlogram of auditory model

“…A correlogram and cross-channel correlation is used to decide whether the corresponding component belongs to harmonic or not. To increase the stability, smoothed energy and energy changing rate are used to choose the stable part of samples [4,6].…”

“…Conventional HNR calculation method depends on estimating pitch value of periodic signal [3,4]. Accurate HNR value obtained from this kind of method depends on the degree of accuracy of pitch detection.…”