In this paper a new voice conversion algorithm will be presented, which transforms the utterance of a source speaker into the utterance of a target speaker or into the utterance of a new unknown speaker. Presented voice conversion algorithm is based on spectral speech analysis, spectral envelope warping, spectrum interpolation and parametrical high quality IIR or FIR cepstral speech synthesis. Several approaches to frequency warping of the speech spectrum are compared, e.g. linear frequency transformation, piecewise linear frequency modification and non-linear frequency low-pass to low-pass transformation. Prosodic transformation i.e. fundamental frequency, time and intensity scale modifications are not mentioned. © Springer-Verlag Berlin Heidelberg 2005.
CITATION STYLE
Vondra, M., & Víeh, R. (2005). Speech identity conversion. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3445 LNAI, pp. 421–426). Springer Verlag. https://doi.org/10.1007/11520153_28
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