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The academic research field of music information retrieval is expanding as rapidly as the MP3 collection of a stereotypical teenager. This could be no coincidence : the benefit of an automated genre classifier increases when the music collection contains several thousand tracks. Of course, there are other applications of music information retrieval. Here we highlight a few that make use of a simple, visual, representation of an audio signal, based on three easy-to-calculate audio features. The applications range from simple navigation around consumer recordings of broadcasts, to a music video production planning tool, to a short term "Listen Again" eye-catching display.
Author (s): Mason, Andrew;
Evans, Michael J.;
Sheikh, Alia;
Affiliation:
British Broadcasting Corporation
(See document for exact affiliation information.)
AES Convention: 123
Paper Number:7238
Publication Date:
2007-10-06
Session subject:
Audio Content Management
DOI:
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Mason, Andrew; Evans, Michael J.; Sheikh, Alia; 2007; Music Information Retrieval in Broadcasting: Some Visual Applications [PDF]; British Broadcasting Corporation; Paper 7238; Available from: https://aes.org/publications/elibrary-page/?id=14296
Mason, Andrew; Evans, Michael J.; Sheikh, Alia; Music Information Retrieval in Broadcasting: Some Visual Applications [PDF]; British Broadcasting Corporation; Paper 7238; 2007 Available: https://aes.org/publications/elibrary-page/?id=14296
@inproceedings{Mason2007music,
title={{Music Information Retrieval in Broadcasting: Some Visual Applications}},
author={Mason, Andrew and Evans, Michael J. and Sheikh, Alia},
year={2007},
month={oct},
booktitle={Journal of the Audio Engineering Society},
publisher={Paper 7238; AES Convention 123; October 2007},
number={7238},
organization={AES},
}
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