Optimizing an automatic creaky voice detection method for Australian English-speaking females

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

3 Citations (Scopus)

Abstract

Creaky voice is a nonmodal phonation type that has various linguistic and sociolinguistic functions. Manually annotating creaky voice for phonetic analysis is time-consuming and labor-intensive. In recent years, automatic tools for detecting creaky voice have been proposed, which present the possibility for easier, faster and more consistent creak identification. One of these proposed tools is a Creak Detector algorithm that uses an automatic neural network taking its input from several acoustic cues to identify creaky voice. Previous work has suggested that the creak probability threshold at which this tool determines an instance to be creaky may vary depending on the speaker population. The present study investigates the optimal creak detection threshold for female Australian English speakers.

Results show further support for the practice of first finding the optimal threshold when using the Creak Detection algorithm on new data sets. Additionally, results show that accuracy of creaky voice detection using the Creak Detection algorithm can be significantly improved by excluding non-sonorant data.
Original languageEnglish
Title of host publicationINTERSPEECH 2021
Subtitle of host publicationProceedings of the 22nd Annual Conference of the International Speech Communication Association
Place of PublicationBaixas, France
PublisherInternational Speech Communication Association (ISCA)
Pages1384-1388
Number of pages5
ISBN (Electronic)9781713836902
DOIs
Publication statusPublished - 2021
EventINTERSPEECH (22nd : 2021) - Brno, Czech Republic
Duration: 30 Aug 20213 Sept 2021

Publication series

NameProceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH
Volume6
ISSN (Print)2308-457X
ISSN (Electronic)1990-9772

Conference

ConferenceINTERSPEECH (22nd : 2021)
Country/TerritoryCzech Republic
CityBrno
Period30/08/213/09/21

Keywords

  • creaky voice
  • creak detection
  • automatic methods
  • Australian English

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