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 language | English |
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Publication status | Published (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