Predicting the Colouration between Binaural Signals
Source abstract
Abstract
Although the difference between the fast Fourier transforms of two audio signals is often used as a basic measure of predicting perceived colouration, these signal measures do not provide information on how relevant the results are from a perceptual point of view. This paper presents a perceptually motivated loudness calculation for predicting the colouration between binaural signals which incorporates equal loudness frequency contouring, relative subjective loudness weighting, cochlea frequency modelling, and an iterative normalisation of input signals. The validation compares the presented model to three other colouration calculations in two ways: using test signals designed to evaluate specific elements of the model, and against the results of a listening test on degraded binaural audio signals. Results demonstrate the presented model is appropriate for predicting the colouration between binaural signals.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Hearing Loss and Rehabilitation · Speech and Audio Processing · Acoustic Wave Phenomena Research
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Acoustics Lab, Department of Signal Processing and Acoustics, Aalto University, 00076 Espoo, Finland
AudioLab, Department of Electronic Engineering, University of York, York YO10 5DQ, UK
Department of Theatre, Film, Television and Interactive Media, University of York, York YO10 5GB, UK
Funding
Google Faculty Research Award
References (52)
Show source-provided references
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