An adaptation framework for QBH-based music retrieval

Authors:
Seungmin Rho;Byeong-Jun Han;Eenjun Hwang;Minkoo Kim
Affiliations:
Graudate School of Information and Communication, Ajou University, Suwon, Korea;Department of Electronics and Computer Engineering, Korea University, Seoul, Korea;Department of Electronics and Computer Engineering, Korea University, Seoul, Korea;Graudate School of Information and Communication, Ajou University, Suwon, Korea
Venue:
KES'07/WIRN'07 Proceedings of the 11th international conference, KES 2007 and XVII Italian workshop on neural networks conference on Knowledge-based intelligent information and engineering systems: Part I
Year:
2007

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Abstract

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.