Reanalysis of crackle perception data using logistic and logarithmic fits and sound quality metrics

Conference · Wed Nov 30 23:00:00 EST 2022

DOI:https://doi.org/10.1121/2.0001957· OSTI ID:2999446

Swift, Stephen Hales ^[1]; Gee, Kent L. ^[2]

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1. Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
2. Brigham Young University Department of Physics and Astronomy

Mathematical models of human auditory perception (sound quality metrics) are explored for the purpose of fitting human subject data from a prior published study. A variety of linearizing transforms and techniques are employed. Ultimately, a model is identified that predicts 98.9% of the variance in average human subject ratings of crackliness of jet noise waveforms.

• Research Organization: Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
• Sponsoring Organization: USDOE National Nuclear Security Administration (NNSA)
• DOE Contract Number: NA0003525
• OSTI ID: 2999446
• Report Number(s): SAND2024-13487C; 1751612
• Country of Publication: United States
• Language: English