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Erschienen in:
2007 | OriginalPaper | Buchkapitel
An Adaptation Framework for QBH-Based Music Retrieval
verfasst von : Seungmin Rho, Byeong-jun Han, Eenjun Hwang, Minkoo Kim
Erschienen in: Knowledge-Based Intelligent Information and Engineering Systems
Verlag: Springer Berlin Heidelberg
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In this paper, we present a new music query transcription and refinement scheme for efficient music retrieval. For the accurate music query transcription into symbolic representation, we propose a method called WAE for note onset detection, and DTC for ADF onset detection. Also, in order to improve the retrieval performance, we propose a new relevance feedback scheme using genetic algorithm. We have built a prototype system based on this scheme and performed various experiments. Experimental results show that our proposed scheme achieves a good performance.