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Profiling the distortion characteristics of commercial music using amplitude distribution statistics

Wilson, A and Fazenda, BM 2014, Profiling the distortion characteristics of commercial music using amplitude distribution statistics , in: Reproduced Sound 30, October 13-15, Birmingham, UK.

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Abstract

As digital audio is encoded as discrete samples of the audio waveform, much can be said about the nature of the recording by the statistical properties of the sample distribution. By analysis of the probability mass function and associated summary features, various distortion profiles can be detected in CD-quality audio, such as hard and soft clipping. This represents the changing nature of signal statistics in digital music of the last 30 years. Subjective testing shows that listeners can perceive differences in these profiles, through differences in quantitative ratings of quality and qualitative descriptions of quality. These detection methods are extended to higher bit-depth audio, which is now often distributed online by recording artists, for which the much-larger size of the probability mass function demands a new approach.

Item Type: Conference or Workshop Item (Paper)
Themes: Media, Digital Technology and the Creative Economy
Schools: Schools > School of Computing, Science and Engineering
Schools > School of Computing, Science and Engineering > Salford Innovation Research Centre (SIRC)
Journal or Publication Title: Proceedings of the Institute of Acoustics
Refereed: Yes
Funders: Non funded research
Depositing User: Alex Wilson
Date Deposited: 07 Nov 2014 18:36
Last Modified: 11 Dec 2015 11:06
URI: http://usir.salford.ac.uk/id/eprint/33014

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