Discrimination of severely noisy pathological voice with spectral slope and HNR

In this paper we tried to discriminate severely noisy pathological voice from normal ones based on two different parameters, spectral slope and ratio of energies in harmonic and noise components (HNR). The spectral slope was obtained by using a curve filling method and the HNR was computed from cepstrum. Speech data from normal peoples and patients were collected, then diagnosed and classified into three different categories (normal, relatively less noisy and severely noisy data). The mean and the standard deviation of the two different parameters were computed and compared to characterize and discriminate the severely noisy pathological voice from others.