@inproceedings{595a1c82c68b4e3eaede3b94e936af4b,
title = "An adaptation framework for QBH-based music retrieval",
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.",
keywords = "Genetic algorithm, Music retrieval, Relevance feedback",
author = "Seungmin Rho and Han, {Byeong Jun} and Eenjun Hwang and Minkoo Kim",
year = "2007",
doi = "10.1007/978-3-540-74819-9_74",
language = "English",
isbn = "9783540748175",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
number = "PART 1",
pages = "596--603",
booktitle = "Knowledge-Based Intelligent Information and Engineering Systems",
edition = "PART 1",
note = "11th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2007, and 17th Italian Workshop on Neural Networks, WIRN 2007 ; Conference date: 12-09-2007 Through 14-09-2007",
}