Direct Segmented Sonification of Characteristic Features of the Data Domain

Vickers, Paul and Höldrich, Robert (2019) Direct Segmented Sonification of Characteristic Features of the Data Domain. In: ICAD 2019: The 25th International Conference on Auditory Display, 23rd - 27th June 2019, Newcastle, UK.

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Official URL: http://dx.doi.org/10.21785/icad2019.043

Abstract

Like audification, auditory graphs maintain the temporal relationships of data while using parameter mappings to represent the ordinate values. Such direct approaches have the advantage of presenting the data stream ‘as is’ without the imposed interpretations or accentuation of particular features found in indirect approaches. However, datasets can often be subdivided into short non-overlapping variable length segments that each encapsulate a discrete unit of domain-specific significant information and current direct approaches cannot represent these. We present Direct Segmented Sonification (DSSon) for highlighting the segments’ data distributions as individual sonic events. Using domain knowledge DSSon presents segments as discrete auditory gestalts while retaining the overall temporal regime and relationships of the dataset. The method’s structural decoupling from the sound stream’s formation means playback speed is independent of the individual sonic event durations, thereby offering highly flexible time compression/stretching to allow zooming into or out of the data. DSSon displays high directness, letting the data ‘speak’ for themselves.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: sonification, audification, auditory display, phsyiotherapy, auditory graph
Subjects: G400 Computer Science
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: Paul Burns
Date Deposited: 08 Jul 2019 14:33
Last Modified: 11 Oct 2019 09:40
URI: http://nrl.northumbria.ac.uk/id/eprint/39897

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