Extended Abstract: Relationships Between Acoustic Features and Perceptual Segmentation of Music Audio
Author(s)
Dean, Roger T.
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Abstract
For a successful practical sonification, boundaries where the information state changes need to be made readily apparent
perceptually. I describe time series analysis techniques for the
detection of segments perceived implicitly during continuous music audio. The detected segments are compared with those
measured computationally, or determined musicologically, on the input audio. The degree to which perceptual segmentation
can be predicted is discussed, together with some of the factors
apparently responsible. This may give useful cues as to how best to structure sonifications for informational purposes.
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Date
2014-06
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Proceedings
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This work is licensed under Creative Commons Attribution
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