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Frequency effects in profile analysis and detecting complex spectral changes.

D M Green, Z A Onsan, T G Forrest

    The Journal of the Acoustical Society of America
    |March 1, 1987
    PubMed
    Summary
    This summary is machine-generated.

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    Detecting sound intensity changes in complex acoustic spectra is easier in mid-range frequencies. Thresholds for detecting spectral changes are largely independent of ripple frequency, with actual thresholds exceeding predictions.

    Area of Science:

    • Acoustics
    • Psychoacoustics
    • Auditory Perception

    Background:

    • Understanding auditory perception of complex sounds is crucial for fields like audio engineering and audiology.
    • Previous research has explored sound intensity discrimination, but less is known about complex spectral changes.

    Purpose of the Study:

    • To investigate the detectability of intensity changes in complex multitonal acoustic spectra.
    • To determine how the frequency region of a spectral change affects its detectability.
    • To evaluate the predictability of complex spectral change detection from individual frequency components.

    Main Methods:

    • Conducted seven experiments on the detectability of intensity variations in acoustic spectra.
    • Measured thresholds for detecting single intensity changes across different frequency regions.

    Related Experiment Videos

  • Assessed thresholds for detecting sinusoidal (rippled) spectral changes at various ripple frequencies.

    • Main Results:

    • The frequency region of a single intensity change has a minor effect on detectability, with mid-range frequencies being easiest to detect.
    • Auditory thresholds increase by approximately 5 dB across the 200–5000 Hz range.
    • Detection thresholds for rippled spectra were independent of ripple frequency.
    • Measured thresholds for rippled spectra were 7 dB higher than predicted by an optimal combination rule.

    Conclusions:

    • Auditory perception of intensity changes in flat spectra is relatively robust across frequency regions.
    • Current models may underestimate the difficulty of detecting complex spectral changes.
    • Further research is needed to refine models of auditory spectral change detection.