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Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

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Same author

A model of the perceptual asymmetry between peaks and troughs of frequency modulation.

The Journal of the Acoustical Society of America·2000
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Waveform interactions and the segregation of concurrent vowels.

The Journal of the Acoustical Society of America·1999
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Pitch shifts of mistuned partials: a time-domain model.

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Missing-data model of vowel identification.

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Cancellation model of pitch perception.

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Identification of concurrent harmonic and inharmonic vowels: a test of the theory of harmonic cancellation and enhancement.

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Related Experiment Video

Updated: Jul 17, 2026

fMRI Mapping of Brain Activity Associated with the Vocal Production of Consonant and Dissonant Intervals
11:15

fMRI Mapping of Brain Activity Associated with the Vocal Production of Consonant and Dissonant Intervals

Published on: May 23, 2017

Vowel-specific effects in concurrent vowel identification.

A de Cheveigné1

  • 1Laboratoire de Linguistique Formelle, CNRS/Université Paris 7, France. cheveign@ircam.fr

The Journal of the Acoustical Society of America
|July 27, 1999
PubMed
Summary

A difference in fundamental frequency (F0) aids in distinguishing concurrent vowels, even when one is significantly quieter. However, large differences in amplitude ratio cannot be overcome by increased F0 differences.

Area of Science:

  • Auditory Perception
  • Acoustic Phonetics
  • Psychoacoustics

Background:

  • Identifying concurrent sounds is crucial for auditory scene analysis.
  • Fundamental frequency (F0) differences are hypothesized to aid in sound segregation.

Purpose of the Study:

  • To investigate how amplitude ratio and fundamental frequency difference (delta F0) affect the identification of concurrent synthetic vowels.
  • To understand the role of spectral cues and F0-guided segregation mechanisms.

Main Methods:

  • Synthetic vowel pairs were presented with varying amplitude ratios (-35 to 35 dB) and delta F0 (0% to 12%).
  • Listener identification performance was measured under different acoustic conditions.
  • Spectral analysis was used to identify key cues for vowel identification.

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Main Results:

  • Vowels 25 dB weaker than their competitor were identifiable with a delta F0.
  • Vowels 35 dB weaker were not identifiable.
  • Larger delta F0 did not compensate for unfavorable amplitude ratios.
  • delta F0 enhanced target vowel cues, even when the target spectrum was 10 dB below the competitor.

Conclusions:

  • F0-guided segregation can enhance the prominence of a target vowel's spectral cues.
  • Identification is possible when formant cues (F1, F2) are prominent, despite competitor cues.
  • Results challenge models based solely on harmonic enhancement, beats, or channel selection for F0-guided segregation.