A Study of Speech Phase in Dysarthria Voice Conversion System

Ko Chiang Chen, Ji Yan Han, Sin Hua Jhang, Ying Hui Lai*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Dysarthria is a communication disorder common in people with damaged neuro-muscular apparatus resulting from events such as stroke. For a dysarthric speaker, voice conversion (VC) is one of the well-known approaches to improve speech intelligibility for a dysarthric speaker. Most of the well-known VC methods focus on converting amplitude features without phase information. Previous studies indicated that phase is an important factor in the speech signal. Therefore, we are interested in adding the correct phase information to VC for dysarthria speech. The results of automatic speech recognition and spectrum analysis show that intelligibility is improved by replacing the dysarthria phase with the normal phase during the synthesis step. It implies that the correct phase information must be considered for the dysarthria VC system.

Original languageEnglish
Title of host publicationFuture Trends in Biomedical and Health Informatics and Cybersecurity in Medical Devices - Proceedings of the International Conference on Biomedical and Health Informatics, ICBHI 2019
EditorsKang-Ping Lin, Ratko Magjarevic, Paulo de Carvalho
PublisherSpringer Science and Business Media Deutschland GmbH
Pages219-226
Number of pages8
ISBN (Print)9783030306359
DOIs
StatePublished - 2020
Event4th International Conference on Biomedical and Health Informatics, ICBHI 2019 - Taipei, Taiwan
Duration: 17 Apr 201920 Apr 2019

Publication series

NameIFMBE Proceedings
Volume74
ISSN (Print)1680-0737
ISSN (Electronic)1433-9277

Conference

Conference4th International Conference on Biomedical and Health Informatics, ICBHI 2019
Country/TerritoryTaiwan
CityTaipei
Period17/04/1920/04/19

Keywords

  • Dysarthria
  • Speech phase
  • Voice conversion

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