Voice conversion using conditional cycleGAN

Dongsuk Yook, In Chul Yoo, Seungho Yoo

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

2 Citations (Scopus)

Abstract

Voice conversion (VC) modifies characteristics of speech, such as gender and speaker identities. The VC can be applied to various tasks including speaking assistance and speaker anonymization. Generally, such VC techniques require parallel speech data for training, which is very expensive. Recently, voice conversion has been accomplished using CycleGAN, which does not require parallel speech data. In this paper, we further extend the idea of using CycleGAN to convert multiple speakers' voices by conditioning the CycleGAN using speaker identity information.

Original languageEnglish
Title of host publicationProceedings - 2018 International Conference on Computational Science and Computational Intelligence, CSCI 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1460-1461
Number of pages2
ISBN (Electronic)9781728113609
DOIs
Publication statusPublished - 2018 Dec
Externally publishedYes
Event2018 International Conference on Computational Science and Computational Intelligence, CSCI 2018 - Las Vegas, United States
Duration: 2018 Dec 132018 Dec 15

Publication series

NameProceedings - 2018 International Conference on Computational Science and Computational Intelligence, CSCI 2018

Conference

Conference2018 International Conference on Computational Science and Computational Intelligence, CSCI 2018
CountryUnited States
CityLas Vegas
Period18/12/1318/12/15

Keywords

  • Conditional CycleGAN (CC-GAN)
  • CycleGAN
  • Generative adversarial networks (GAN)
  • Voice conversion

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Hardware and Architecture
  • Information Systems and Management
  • Control and Optimization
  • Modelling and Simulation
  • Artificial Intelligence

Fingerprint Dive into the research topics of 'Voice conversion using conditional cycleGAN'. Together they form a unique fingerprint.

Cite this