Transmutative voice conversion

Seyed Hamidreza Mohammadi, Alexander Kain

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Scopus citations

Abstract

There are two types of voice conversion (VC) systems: generative and transmutative. A generative VC system typically uses a compact parametrization of speech and maps input to output parameters directly; however, the relative low dimensionality of the underlying speech model reduces quality. On the other hand, a transmutative VC system modifies high-dimensional features of a high-fidelity speech model, leaving critical details unmodified. Two versions of transmutative VC approach are implemented and compared to a generative VC approach. The results show that the implemented transmutative VC is significantly better compared to generative VC in terms of quality. The difference between the two VC methods regarding recognition scores are insignificant.

Original languageEnglish (US)
Title of host publication2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings
Pages6920-6924
Number of pages5
DOIs
StatePublished - Oct 18 2013
Event2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Vancouver, BC, Canada
Duration: May 26 2013May 31 2013

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)1520-6149

Other

Other2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013
CountryCanada
CityVancouver, BC
Period5/26/135/31/13

Keywords

  • frequency warping
  • speech transformation
  • voice conversion

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

Cite this

Mohammadi, S. H., & Kain, A. (2013). Transmutative voice conversion. In 2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings (pp. 6920-6924). [6639003] (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). https://doi.org/10.1109/ICASSP.2013.6639003