Title:
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Audio clip classification using social tags and the effect of tag expansion
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Author:
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Font Corbera, Frederic; Serrà Julià, Joan; Serra, Xavier
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Abstract:
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Comunicació presentada a la 53rd International Conference: Semantic audio, celebrada els dies 27 a 29 de gener de 2014 a Londres, Regne Unit. |
Abstract:
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Methods for automatic sound and music classification are of great value when trying to organise the large
amounts of unstructured, user-contributed audio content uploaded to online sharing platforms. Currently,
most of these methods are based on the audio signal, leaving the exploitation of users’ annotations or other
contextual data rather unexplored. In this paper, we describe a method for the automatic classification of
audio clips which is solely based on user-supplied tags. As a novelty, the method includes a tag expansion
step for increasing classification accuracy when audio clips are scarcely tagged. Our results suggest that very
high accuracies can be achieved in tag-based audio classification (even for poorly or badly annotated clips),
and that the proposed tag expansion step can, in some cases, significantly increase classification performance.
We are interested in the use of the described classification method as a first step for tailoring assistive tagging
systems to the particularities of different audio categories, and as a way to improve the overall quality of
online user annotations. |
Abstract:
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This work has been supported by BES-2010-037309 FPI
from the Spanish Ministry of Science and Innovation
(TIN2009-14247-C02-01; F.F.), 2009-SGR-1434 from
Generalitat de Catalunya (J.S.), JAEDOC069/2010 from
Consejo Superior de Investigaciones Cient´ıficas (J.S.),
ICT-2011-8-318770 from the European Commission
(J.S.), and FP7-2007-2013 / ERC grant agreement
267583 (CompMusic). |
Subject(s):
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-Classificació automàtica -Formes musicals |
Rights:
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© Audio Engineering Society 2014. This paper was presented at the 53rd Conference of the Audio Engineering Society, as paper number 2-3. The full published version can be found at http://www.aes.org/e-lib/browse.cfm?elib=17091 |
Document type:
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Conference Object Article - Accepted version |
Published by:
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Audio Engineering Society
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