Individual articulator's contribution to phoneme production

Jun Wang, Jordan R. Green, Ashok Samal

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

21 Scopus citations

Abstract

Speech sounds are the result of coordinated movements of individual articulators. Understanding each articulator's role in speech is fundamental not only for understanding how speech is produced, but also for optimizing speech assessments and treatments. In this paper, we studied the individual contributions of six articulators, tongue tip, tongue blade, tongue body front, tongue body back, upper lip, and lower lip to phoneme classification. A total of 3,838 vowel and consonant production samples were collected from eleven native English speakers. The results of speech movement classification using a support vector machine indicated that the tongue encoded significantly more information than lips, and that the tongue tip may be the most important single articulator among all of the six for phoneme production. Furthermore, our results suggested that the tracking of four articulators (i.e., tongue tip, tongue body back, upper lip, and lower lip) may be sufficient for distinguishing major English phonemes based on articulatory movements.

Original languageEnglish (US)
Title of host publication2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings
Pages7785-7789
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

Conference

Conference2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013
Country/TerritoryCanada
CityVancouver, BC
Period5/26/135/31/13

Keywords

  • Speech production
  • articulation
  • silent speech recognition
  • support vector machine

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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