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Information conveyed by voice qualitya).

Jody Kreiman1

  • 1Departments of Head and Neck Surgery and Linguistics, University of California, Los Angeles, Los Angeles, California 90095-1794, USA.

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Summary
This summary is machine-generated.

Voice quality characterization is complex, but recurring terms suggest biology underpins perception. Evolved size and arousal dimensions structure voice acoustics and descriptive language for better understanding.

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Area of Science:

  • Acoustic phonetics
  • Bioacoustics
  • Linguistics
  • Psychoacoustics

Background:

  • Characterizing voice quality is challenging due to extensive descriptive vocabulary and complexity of vocal information.
  • Existing instrumental measures capture sound patterns but fail to explain listener attributions of speaker characteristics, intentions, or identity.
  • Subjective language-based scales for voice quality often lack empirical basis and are considered inadequate.

Purpose of the Study:

  • To investigate the underlying biological basis of voice quality perception.
  • To explore the relationship between acoustic dimensions, descriptive language, and biological factors like size and arousal.
  • To propose an interdisciplinary approach for voice analysis.

Main Methods:

  • Analysis of recurring terms across voice quality studies.
  • Correlation of acoustic dimensions with biological factors (size, arousal) across species.
  • Examination of how size and arousal influence voice acoustics and descriptive language.

Main Results:

  • Certain voice quality terms consistently reappear in research.
  • These terms align with acoustic dimensions that explain variance across speakers and languages.
  • Acoustic dimensions correlate with perceived size and arousal across species.

Conclusions:

  • Voice quality perception is rooted in biological factors, specifically size and arousal.
  • These biological factors shape both the physical acoustics of voices and the language used to describe them.
  • An interdisciplinary approach integrating signal studies and meaning is crucial for understanding voice.