An efficient time-varying loudness model
Ward, Dominic and Athwal, Cham and Kokuer, M. (2013) An efficient time-varying loudness model. In: 2013 14th IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2013, 20 October 2013 through 23 October 2013, New Paltz, NY; United States.
Full text not available from this repository.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.
Item Type: | Conference or Workshop Item (Paper) |
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Identification Number: | 10.1109/WASPAA.2013.6701884 |
Dates: | Date Event 2013 Published |
Uncontrolled Keywords: | loudness, perceptual models, psychoacoustics, Computational costs, Excitation pattern, loudness, Optimization techniques, Perceptual model, psychoacoustics, Time-varying loudness, Time-varying sounds, Audition, Error analysis, Optimization, Signal processing, Sound reproduction, Audio acoustics |
Subjects: | CAH11 - computing > CAH11-01 - computing > CAH11-01-01 - computer science |
Divisions: | Faculty of Computing, Engineering and the Built Environment Faculty of Computing, Engineering and the Built Environment > College of Computing |
Depositing User: | Hussen Farooq |
Date Deposited: | 27 Jul 2016 10:47 |
Last Modified: | 22 Mar 2023 12:02 |
URI: | https://www.open-access.bcu.ac.uk/id/eprint/2529 |
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