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Related Experiment Videos

A computer-aided study of speaking spaces

G H Lu1, T W Chow, L K So

  • 1Jinan University, Guangzhou, China.

Journal of Dentistry
|October 1, 1993
PubMed
Summary
This summary is machine-generated.

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This study found that sibilant sounds create the smallest speaking space in Cantonese speakers. Their speaking space variability is also less than in English speakers.

Area of Science:

  • Speech Science
  • Linguistics
  • Phonetics

Background:

  • Understanding the speaking space is crucial for speech analysis and understanding articulatory dynamics.
  • Previous research has suggested differences in speaking space between languages, but specific data for Cantonese is limited.

Purpose of the Study:

  • To investigate the closest speaking space during speech production in native Cantonese speakers.
  • To compare the speaking space characteristics of Cantonese speakers with existing data from English speakers.
  • To examine the relationship between the closest speaking space and freeway space for specific sounds.

Main Methods:

  • Utilized a computer-aided system for precise measurement of the speaking space.
  • Selected thirty native Cantonese speakers with Class I occlusion for the study.

Related Experiment Videos

  • Employed Sona-Graph analysis on test sentences to evaluate speech articulation.

    • Main Results:

    • Sibilant sounds were identified as producing the closest speaking space in Cantonese speakers.
    • The mean and variability of the closest speaking space in Cantonese speakers were found to be smaller compared to English speakers.
    • The study did not support the hypotheses that the closest speaking space is smaller than freeway space or that the 'm' sound speaking space resembles freeway space.

    Conclusions:

    • Cantonese speakers exhibit distinct speaking space characteristics, particularly with sibilant sounds.
    • The findings suggest language-specific variations in articulatory dynamics and the spatial envelope of speech.
    • This research contributes to a more nuanced understanding of phonetics and speech production across different languages.