Using the random components of the jitter of speech pitch period to assess the state of the user of social-cyber-physical system

Abstract

Socio-cyber-physical systems are focused on perceptual interaction with users and involve analyzing and translating his or her physiological and psycho-emotional state. An actual scientific problem is to determine the latter basing on the user's speech signal. In particular, it can be solved relying on investigating the jitter of the speech pitch period. In this paper we propose an algorithm that allows one to improve the noise immunity of determining the pitch period of speech signal and a method of jitter determination based on averaging the change of the pitch period relatively to the current value. We also propose an algorithm for separating periodic and random pitch jitter based on using the discrete Fourier transform on the sequence of the pitch periods with the presence of unknown values in the unvoiced speech frames. Simulation shows that the proposed approach of filling the unknown values of pitch period has better results compared to the existing methods based on interpolation of the nearest known values.