Publication at First Faculty of Medicine |
2011
Abstract
In this paper we present usage of the two novel speech fundamental frequency (f0) detection methods for sustained phonations to assess other vocal parameter such as jitter, shimmer, and harmonics-to-noise ratio (HNR). These voice parameters are commonly used to detect the speaker’s voice characteristics and his voice quality.
The aim of the work is to design the algorithm for detecting these vocal parameters, regarding to the robustness and automatization with minimisation of external parameters set-up. The results of particular parameters are compared with commonly used software Praat.
The comparison of results between Praat and our designed vocal parameters were 83% for jitter, 88% for shimmer and 94% for HNR.