Determination of Variation Ranges of the Psola Transformation Parameters by Using Their Influence on the Acoustic Parameters of Speech
L. Demri, Leila Falek, Hocine Teffahi, Amar Djéradi · Lecture Notes on Information Theory · 2013
Abstract—One of the major issues when transforming a voice using the PSOLA algorithm is to be able to accurately find the values for the signal modification parameters (α, β and γ) that allow us to transform the source signal into the target signal. In this paper, we propose a way to determine these parameters on the basis of a study of their influence on some speech acoustic descriptors. We are then able to deduce the relationship between each transformation parameter and the feature parameters of the voice. The obtained results are acceptable and allowed us to sort the vocal features in ascending order of transformation complexity.