A Method of Measuring the Index of Acoustic Voice Quality Based on an Information-Theoretic Approach

Abstract

A new method is proposed for measurements of an index of acoustic voice quality using the Kulbaka–Leybler information metric. The primary benefit of this method consists in its high-level dynamic properties, as calculated by eliminating the problem of a small number of observational samples. A theoretical study of the method’s efficiency was conducted, and its conclusions were confirmed experimentally. It has been established that, in order to provide a sufficiently precise assessment of the voice quality of the speaker, a speech signal of duration 2–3 minutes is required.