Method and Software Model for Evaluating the Statistical Characteristics of a Speech Melody
Boris Lobanov, Vladimir Zhitko · Computational Linguistics and Intellectual Technologies · 2022
A method for estimating the statistical characteristics of speech melody is proposed. The procedure of constructing histograms of the frequency distribution of the pitch frequency over sufficiently long intervals of speech is described. A distinctive feature of the method is that the discrete values of the pitch of speech are measured only at intervals of vowels. Two options of the pitch scales used for analysis of the melody characteristics are selected, namely: linear for speech and logarithmic for singing. A method for estimating three parameters of the histogram is proposed: register - R, range - D, asymmetry - A. Numerous examples are given showing the effectiveness of the proposed method in assessing the individuality of the melody of the speaker’s speech, as well as his emotional state. A description of the prototype of the Speech Melody Meter (SMM) system is given (see also: https://intontrainer.by. SMM is a software implementation of the proposed method for assessing the statistical characteristics of speech melody.