Acoustical Science and Technology
Online ISSN : 1347-5177
Print ISSN : 1346-3969
ISSN-L : 0369-4232
INVITED REVIEWS
Computational models for predicting sound quality
Brian C. J. Moore
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JOURNAL FREE ACCESS

2020 Volume 41 Issue 1 Pages 75-82

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Abstract

The quality of an audio device depends on how accurately the device transmits the properties of the sound source to the ear(s) of the listener. Two types of ``distortion'' can occur: (1) ``Linear'' distortion, namely a deviation of the frequency response from the ``target'' response; (2) Nonlinear distortion, which is characterised by frequency components in the output of the device that were not present in the input. These two forms of distortion have different perceptual effects. Their effects on sound quality can be predicted using a model of auditory processing with the following stages: filters simulating the transmission of sound from the device to the ear of the listener and through the middle ear; and an array of bandpass filters simulating the filters that exist in the cochlea. For predicting the perceptual effects of linear distortion, a model operating in the frequency domain can be used. For predicting the perceptual effects of nonlinear distortion, a model operating in the time domain is required, since the detailed waveforms at the outputs of the auditory filters need to be considered. The models described give accurate predictions for a wide range of ``artificial'' and ``real'' linear and nonlinear distortions.

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© 2020 by The Acoustical Society of Japan
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