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)
Identification Number:	https://doi.org/10.1109/WASPAA.2013.6701884
Date:	2013
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 > School of Computing and Digital Technology Faculty of Computing, Engineering and the Built Environment > School of Computing and Digital Technology > Digital Media Technology REF UoA Output Collections > REF2021 UoA11: Computer Science and Informatics
Depositing User:	Hussen Farooq
Date Deposited:	27 Jul 2016 10:47
Last Modified:	10 Sep 2021 14:25
URI:	http://bcu-test.eprints-hosting.org/id/eprint/2529

Actions (login required)

View Item