An adaptation framework for QBH-based music retrieval

Seungmin Rho, Byeong Jun Han, Een Jun Hwang, Minkoo Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages596-603
Number of pages8
Volume4692 LNAI
EditionPART 1
Publication statusPublished - 2007 Dec 1
Event11th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2007, and 17th Italian Workshop on Neural Networks, WIRN 2007 - Vietri sul Mare, Italy
Duration: 2007 Sep 122007 Sep 14

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume4692 LNAI
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other11th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2007, and 17th Italian Workshop on Neural Networks, WIRN 2007
CountryItaly
CityVietri sul Mare
Period07/9/1207/9/14

Fingerprint

Transcription
Music
Retrieval
Genetic algorithms
Query
Feedback
Relevance Feedback
Refinement
Experiments
Genetic Algorithm
Prototype
Framework
Experimental Results
Experiment

Keywords

  • Genetic algorithm
  • Music retrieval
  • Relevance feedback

ASJC Scopus subject areas

  • Computer Science(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Theoretical Computer Science

Cite this

Rho, S., Han, B. J., Hwang, E. J., & Kim, M. (2007). An adaptation framework for QBH-based music retrieval. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (PART 1 ed., Vol. 4692 LNAI, pp. 596-603). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4692 LNAI, No. PART 1).

An adaptation framework for QBH-based music retrieval. / Rho, Seungmin; Han, Byeong Jun; Hwang, Een Jun; Kim, Minkoo.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4692 LNAI PART 1. ed. 2007. p. 596-603 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4692 LNAI, No. PART 1).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Rho, S, Han, BJ, Hwang, EJ & Kim, M 2007, An adaptation framework for QBH-based music retrieval. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 1 edn, vol. 4692 LNAI, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 1, vol. 4692 LNAI, pp. 596-603, 11th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2007, and 17th Italian Workshop on Neural Networks, WIRN 2007, Vietri sul Mare, Italy, 07/9/12.
Rho S, Han BJ, Hwang EJ, Kim M. An adaptation framework for QBH-based music retrieval. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 1 ed. Vol. 4692 LNAI. 2007. p. 596-603. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1).
Rho, Seungmin ; Han, Byeong Jun ; Hwang, Een Jun ; Kim, Minkoo. / An adaptation framework for QBH-based music retrieval. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4692 LNAI PART 1. ed. 2007. pp. 596-603 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1).
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