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Related Experiment Videos

Why can a decrease in dB(A) produce an increase in loudness?

R Hellman1, E Zwicker

  • 1Auditory Perception Laboratory, Northeastern University, Boston, Massachusetts 02115.

The Journal of the Acoustical Society of America
|November 1, 1987
PubMed
Summary
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Loudness perception of complex sounds, like tones with noise, follows similar patterns whether measured or calculated. A-weighting is an unreliable loudness indicator for these sounds, suggesting better loudness meters are needed.

Area of Science:

  • Acoustics
  • Psychoacoustics
  • Auditory Perception

Background:

  • Loudness perception is crucial for understanding sound and noise effects.
  • Existing standards like ISO 532 B provide methods for calculating loudness.
  • The effectiveness of A-weighting in representing perceived loudness for complex sounds is debated.

Purpose of the Study:

  • To compare measured loudness using absolute magnitude estimation with calculated loudness via ISO 532 B.
  • To investigate the loudness growth pattern of a complex sound (1000-Hz tone and broadband noise).
  • To evaluate the suitability of A-weighting as a loudness indicator for complex sounds.

Main Methods:

  • Absolute magnitude estimation for loudness measurement.
  • Loudness calculation using ISO 532 B standard.

Related Experiment Videos

  • Analysis of a complex sound composed of a 1000-Hz tone and broadband noise.
  • Examination of loudness growth over a 30-dB SPL range.
  • Main Results:

    • Measured and calculated loudness functions showed similar growth patterns.
    • Loudness of the complex sound was a nonmonotonic function of overall SPL.
    • A negative relationship was found between A-weighting and the complex sound's loudness.
    • A-weighted SPL was identified as an inappropriate indicator for heterogeneous spectral sounds.

    Conclusions:

    • The auditory system's processing of tone-noise complexes explains observed loudness patterns.
    • A-weighting is a misleading metric for complex sounds, diminishing its noise control utility.
    • Loudness meters integrating spectral shapes offer a more promising approach for perceived magnitude estimation.