An efficient time-varying loudness model: 2013 14th IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2013

Dominic Ward, Cham Athwal, M. Kokuer

    Research output: Contribution to conferencePaper

    Abstract

    In this paper, we present an efficient loudness model applicable to time-varying sounds. We use the model of Glasberg and Moore (J. Audio Eng. Soc., 2002) as the basis for our developments, proposing a number of optimization techniques to reduce the computational complexity at each stage of the model. Efficient alternatives to computing the multi-resolution DFT, excitation pattern and pre-cochlea filter are presented. Absolute threshold and equal loudness contour predictions are computed and compared against both steady-state and time-varying loudness models to evaluate the combined accuracy of these techniques in the frequency domain. Finally, computational costs and loudness errors are quantified for a range of time-varying stimuli, demonstrating that the optimized model can execute approximately 50 times faster within tolerable error bounds. � 2013 IEEE.
    Original languageEnglish
    Publication statusPublished (VoR) - 2013

    Keywords

    • loudness
    • perceptual models
    • psychoacoustics
    • Computational costs
    • Excitation pattern
    • Optimization techniques
    • Perceptual model
    • Time-varying loudness
    • Time-varying sounds
    • Audition
    • Error analysis
    • Optimization
    • Signal processing
    • Sound reproduction
    • Audio acoustics

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