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Predicting consonant confusions from acoustic analysis

J R Dubno, H Levitt

    The Journal of the Acoustical Society of America
    |January 1, 1981
    PubMed
    Summary
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    Acoustic features of speech, like consonant energy and spectral peaks, can predict how listeners confuse sounds in quiet and noisy environments. This helps understand speech perception challenges.

    Area of Science:

    • Speech processing and audiology
    • Psychoacoustics
    • Linguistics

    Background:

    • Understanding speech perception in noise is crucial for audiology and communication.
    • Consonant confusions are a primary challenge in degraded listening conditions.
    • Acoustic properties of speech sounds significantly influence intelligibility.

    Purpose of the Study:

    • To investigate the relationship between acoustic characteristics of nonsense syllables and consonant confusion patterns.
    • To identify acoustic variables that best predict speech sound confusions in quiet and noise.
    • To determine how noise affects consonant recognition based on phonetic features.

    Main Methods:

    • Normal-hearing subjects listened to nonsense syllables in quiet and +5 dB speech-to-noise ratio.

    Related Experiment Videos

  • Acoustic features of speech stimuli were measured using digital signal processing.
  • Correlation analysis was performed between acoustic parameters and confusion percentages.

    • Main Results:

    • Consonant voicing, position, and vowel context significantly impacted syllable recognition.
    • The performance-intensity function was steeper in quiet than in noise.
    • Acoustic variables, including consonant energy, spectral peaks, and consonant-to-noise ratio, predicted confusion percentages.

    Conclusions:

    • Acoustic properties of consonants are key predictors of speech sound confusion.
    • Noise impacts consonant recognition based on production manner and constriction location.
    • Specific acoustic variables effectively predict listener confusions across different conditions.