Voice transformation using radial basis function

Abstract

This paper presents novel technique of voice transformation (VT), which transform the individual acoustic characteristics of the source speaker so that it is perceived as if spoken like target speaker. Using features namely line spectral pairs (LSP) and pitch as spectral and glottal parameters of the source speaker are transformed into target speaker parameters using radial basis function (RBF). The results are evaluated using subjective and objective measures based on voice quality method. The listening tests prove that the proposed algorithm converts speaker individuality while maintaining high speech quality. © 2013 Springer Science+Business Media New York.