A segment-based approach to voice conversion

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

27 Citations (Scopus)

Abstract

A voice conversion algorithm that uses speech segments as conversion units is proposed. Input speech is decomposed into speech segments by a speech recognition module, and the segments are replaced by speech segments uttered by another speaker. This algorithm makes it possible to convert not only the static characteristics but also the dynamic characteristics of speaker individuality. The proposed voice conversion algorithm was used with two male speakers. Spectrum distortion between target speech and the converted speech was reduced to one-third the natural spectrum distortion between the two speakers. A listening experiment showed that, in terms of speaker identification accuracy, the speech converted by segment-sized units gave a score 20% higher than the speech converted frame-by-frame.

Original languageEnglish
Title of host publicationProceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
Editors Anon
PublisherPubl by IEEE
Pages765-768
Number of pages4
ISBN (Print)078030033
Publication statusPublished - Dec 1 1991
Externally publishedYes
EventProceedings of the 1991 International Conference on Acoustics, Speech, and Signal Processing - ICASSP 91 - Toronto, Ont, Can
Duration: May 14 1991May 17 1991

Publication series

NameProceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
Volume2
ISSN (Print)0736-7791

Other

OtherProceedings of the 1991 International Conference on Acoustics, Speech, and Signal Processing - ICASSP 91
CityToronto, Ont, Can
Period5/14/915/17/91

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'A segment-based approach to voice conversion'. Together they form a unique fingerprint.

  • Cite this

    Abe, M. (1991). A segment-based approach to voice conversion. In Anon (Ed.), Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing (pp. 765-768). (Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing; Vol. 2). Publ by IEEE.