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ACII
2015
Springer

Fundamental frequency modeling using wavelets for emotional voice conversion

3 years 6 days ago
Fundamental frequency modeling using wavelets for emotional voice conversion
Abstract—This paper is to show a representation of fundamental frequency (F0) using continuous wavelet transform (CWT) for prosody modeling in emotion conversion. Emotional conversion aims at converting speech from one emotion state to another. Specifically, we use CWT to decompose F0 into a five-scale representation that corresponds to five temporal scales. A neutral voice is converted to an emotional voice under an exemplarbased voice conversion framework, where both spectrum and F0 are simultaneously converted. The simulation results demonstrate that the dynamics of F0 in different temporal scales can be well captured and converted using the five-scale CWT representation. The converted speech signals are evaluated both objectively and subjectively, that confirm the effectiveness of the proposed method. Keywords—Voice conversion; prosody; sparse representation; emotion
Added 13 Apr 2016
Updated 13 Apr 2016
Type Journal
Year 2015
Where ACII
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