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Related Experiment Videos

Yeyi clicks: acoustic description and analysis.

Sean A Fulop1, Peter Ladefoged, Fang Liu

  • 1Department of Linguistics, University of Chicago, 1010 E. 59th Street, Chicago, IL 60637, USA. sfulop@uchicago.edu

Phonetica
|March 9, 2004
PubMed
Summary

Yeyi, a Bantu language with numerous click sounds, is endangered. This study analyzes Yeyi clicks, finding acoustic features that distinguish articulation places and documenting speaker variations.

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Area of Science:

  • Phonetics and Phonology
  • Linguistic Anthropology
  • Acoustic Phonetics

Background:

  • Yeyi, a Bantu language, possesses the largest known inventory of click sounds.
  • The language is currently moribund, necessitating documentation of its unique phonetic features.
  • Click consonants are complex speech sounds found in various African languages.

Purpose of the Study:

  • To document the acoustic and distributional characteristics of Yeyi click sounds.
  • To analyze the acoustic parameters that distinguish different click articulation places in Yeyi.
  • To investigate interspeaker variation in the production of Yeyi clicks.

Main Methods:

  • Recording and acoustic analysis of click sounds from 13 Yeyi speakers.
  • Spectrographic analysis, palatography, and measurement of click closure and release durations.

Related Experiment Videos

  • Quantitative analysis of anterior burst power spectra and spectral moments for classification.

    • Main Results:

    • Click durations (closure and release) statistically differentiate dental, alveolar, palatal, and lateral clicks.
    • Anterior burst power spectra moderately classify the four click articulation places.
    • Observed interspeaker variation patterns align with classification errors of an optimal classifier.

    Conclusions:

    • Acoustic measurements provide robust methods for distinguishing Yeyi click types.
    • Spectral moments of anterior bursts offer a viable, though less precise, means of classification.
    • Understanding interspeaker variation is crucial for accurate phonetic analysis of endangered languages.