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A DATABASE AND CHALLENGE FOR ACOUSTIC SCENE CLASSIFICATION AND EVENT DETECTION

Giannoulis, D, Stowell, D, Benetos, E, Rossignol, M, Lagrange, M and Plumbley, MD (2013) A DATABASE AND CHALLENGE FOR ACOUSTIC SCENE CLASSIFICATION AND EVENT DETECTION In: 21st European Signal Processing Conference (EUSIPCO), 2013-09-09 - 2013-09-13, Marrakesh, MOROCCO.

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Abstract

An increasing number of researchers work in computational auditory scene analysis (CASA). However, a set of tasks, each with a well-defined evaluation framework and commonly used datasets do not yet exist. Thus, it is difficult for results and algorithms to be compared fairly, which hinders research on the field. In this paper we will introduce a newly-launched public evaluation challenge dealing with two closely related tasks of the field: acoustic scene classification and event detection. We give an overview of the tasks involved; describe the processes of creating the dataset; and define the evaluation metrics. Finally, illustrations on results for both tasks using baseline methods applied on this dataset are presented, accompanied by open-source code. © 2013 EURASIP.

Item Type: Conference or Workshop Item (Conference Paper)
Authors :
NameEmailORCID
Giannoulis, DUNSPECIFIEDUNSPECIFIED
Stowell, DUNSPECIFIEDUNSPECIFIED
Benetos, EUNSPECIFIEDUNSPECIFIED
Rossignol, MUNSPECIFIEDUNSPECIFIED
Lagrange, MUNSPECIFIEDUNSPECIFIED
Plumbley, MDUNSPECIFIEDUNSPECIFIED
Date : 1 January 2013
Contributors :
ContributionNameEmailORCID
http://www.loc.gov/loc.terms/relators/PBLIEEE, UNSPECIFIEDUNSPECIFIED
Uncontrolled Keywords : Science & Technology, Technology, Engineering, Electrical & Electronic, Engineering, Computational auditory scene analysis, acoustic scene classification, acoustic event detection, AUDIO, RECOGNITION, MUSIC
Related URLs :
Depositing User : Symplectic Elements
Date Deposited : 28 Feb 2017 14:33
Last Modified : 31 Oct 2017 17:51
URI: http://epubs.surrey.ac.uk/id/eprint/809250

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