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Abstract
We propose the “Kiki-Bouba Challenge” (KBC) for the re- search and development of content-based music informa- tion retrieval (MIR) systems. This challenge is unencum- bered by several problems typically encountered in MIR research: insufficient data, restrictive copyrights, imper- fect ground truth, a lack of specific criteria for classes (e.g., genre), a lack of explicit problem definition, and irrepro- ducibility. KBC provides a limitless amount of free data, a perfect ground truth, and well-specifiable and meaningful characteristics defining each class. These ideal conditions are made possible by open source algorithmic composition — a hitherto under-exploited resource for MIR.
Original language | English |
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Title of host publication | Proceedings of the 15th International Society for Music Information Retrieval Conference, ISMIR 2014 |
Number of pages | 6 |
Publisher | dblp Computer Science Bibliography |
Publication date | 2014 |
Pages | 21-26 |
Publication status | Published - 2014 |
Event | International Symposium on Music Information Retrieval: ISMIR - Taipei, Taiwan, Province of China Duration: 27 Oct 2014 → 31 Oct 2014 |
Conference
Conference | International Symposium on Music Information Retrieval |
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Country/Territory | Taiwan, Province of China |
City | Taipei |
Period | 27/10/2014 → 31/10/2014 |
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Greedy Sparse Approximation and the Automatic Description of Audio and Music Data
Sturm, B. L.
Technology and Production Independent Postdoc Center for Independent Research
01/01/2012 → …
Project: Research