Abstract | ||
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Since digital audio is encoded as discrete samples of the audio waveform, much can be said about a recording by the statistical properties of these samples. In this paper, a dataset of CD audio samples is analysed; the probability mass function of each audio clip informs a feature set which describes attributes of the musical recording related to loudness, dynamics and distortion. This allows musical recordings to be classified according to their "distortion character", a concept which describes the nature of amplitude distortion in mastered audio. A subjective test was designed in which such recordings were rated according to the perception of their audio quality. It is shown that participants can discern between three different distortion characters; ratings of audio quality were significantly different (F(1, 2) = 5.72, p < 0.001, eta(2) = 0.008) as were the words used to describe the attributes on which quality was assessed (chi(2) (8, N = 547) = 33.28, p < 0.001). This expands upon previous work showing links between the effects of dynamic range compression and audio quality in musical recordings, by highlighting perceptual differences. |
Year | Venue | Field |
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2014 | DAFX-14: 17TH INTERNATIONAL CONFERENCE ON DIGITAL AUDIO EFFECTS | Probability mass function,Loudness,Amplitude distortion,Computer science,Speech recognition,Sound quality,Digital audio,Distortion,Perception,Dynamic range compression |
DocType | ISSN | Citations |
Conference | 2413-6700 | 0 |
PageRank | References | Authors |
0.34 | 6 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Andrew D. Wilson | 1 | 5065 | 362.19 |
Bruno Fazenda | 2 | 2 | 1.17 |