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Goldsmiths - University of London

FEATUR.UX: exploiting multitrack information for artistic visualization

Olowe, Ireti; Barthet, Mathieu; Grierson, Mick and Bryan-Kinns, Nick. 2016. 'FEATUR.UX: exploiting multitrack information for artistic visualization'. In: Proceedings of the International Conference on Technologies for Music Notation and Representation - TENOR2016. TENOR, United Kingdom. [Conference or Workshop Item]

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Abstract or Description

FEATUR.UX (Feature - ous) is an audio visualization tool, currently in the process of development, which proposes to introduce a new approach to sound visualization using pre-mixed, independent multitracks and audio feature extraction. Sound visualization is usually performed using a final mix, mono or stereo track of audio. Audio feature extraction is commonly used in the field of music information retrieval to create search and recommendation systems for large music databases rather than generating live visualizations. Visualizing multitrack audio circumvents problems related to the source separation of mixed audio signals and presents an opportunity to examine interdependent relationships within and between separate streams of music. This novel approach to sound visualization aims to provide an enhanced accession to the listening experience corresponding to this use case that employs non-tonal, non-notated forms of electronic music. Findings from prior research studies focused on live performance and preliminary quantitative results from a user survey have provided the basis from which to develop a prototype that will be used throughout an iterative design study to examine the impact of using multitrack audio and audio feature extraction on sound visualization practice.

Item Type: Conference or Workshop Item (Paper)

Departments, Centres and Research Units:

Computing
Music

Dates:

DateEvent
29 May 2016Published
14 December 2015Accepted

Event Location:

TENOR, United Kingdom

Item ID:

18495

Date Deposited:

02 Jun 2016 14:42

Last Modified:

20 Jun 2017 10:27

URI: http://research.gold.ac.uk/id/eprint/18495

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