Partial signal extraction for mobile media players
Pages 282 - 286
Abstract
Audio signal properties can provide a media player with highly descriptive feature sets in order to intelligently select similar songs for a music stream. A well-known problem among researchers in music information retrieval, however, is that extracting signal properties requires a significant amount of computational resources, thus making it impractical for even the most advanced mobile media players. Although other approaches to retrieving data are possible, local extraction still has unique benefits. Using a combination of machine learning and profiling techniques, this paper presents an initial evaluation of partial signal extraction, which reduces resource requirements by locally collecting signals from parts of a song rather than all. Our preliminary experiments suggest that this idea can offer significantly lower resource requirements while losing marginal song information.
References
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Index Terms
- Partial signal extraction for mobile media players
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Published In
November 2008
488 pages
ISBN:9781605582696
DOI:10.1145/1497185
Copyright © 2008 ACM.
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Published: 24 November 2008
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MoMM08
MoMM08: 6th International Conference on Mobile Computing and Multimedia
November 24 - 26, 2008
Linz, Austria
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