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The Fusion Matching Method for Polyphonic Music Feature Database

  • Chai-Jong Song
  • Seok-Pil Lee
  • Kyung-Hack Seo
  • Kang Ryoung Park
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 107)

Abstract

This article proposes the fusion matching method for polyphonic music feature database which are extracted from music signal. The best way looking for the song is the tag based retrieval method using metadata like title, singer, lyrics, etc. This is very convenient and powerful way if you have already known about information of contents what you are looking for. But if you do not have any information of the contents, contents based query method might be a plan-B. Query by Singing/Humming (QbSH) is the powerful tool and the best supplemental method looking for song or music over the internet or among huge database. This topic has been researched for a so long time with various solutions. But, there have not been any outstanding solution so far. So we propose the fusion matching method with three matchers against polyphonic music signal in order to improve matching performance. Proposed method is based on Dynamic Time Warp (DTW), Linear Scaling (LS) and Quantized Binary Code (QBcode) and then combines them with fusion score based PRODUCT rule.

Keywords

MIR QbSH DTW LS 

References

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    Orio N (2006) Music information retrieval: a turorial and review. Found Trends Inf Retr 1:1–90MATHCrossRefGoogle Scholar
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    Ghias A et al (1995) Query by humming-musical information retrieval in an audio database. In: Proceedings of ACM Multimedia, pp 231–236Google Scholar
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    Jang JSR, Lee HR (2008) A General framework of progressive filtering and its application to query by singing/humming. IEEE Trans Speech, Audio Language 2(16):250–258Google Scholar
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    Downie JS (2008) The music information retrieval evaluation exchange (2005–2007): a window into music information retrieval research. Acoust Sci Technol 29(4):247–255Google Scholar

Copyright information

© Springer Science+Business Media B.V. 2011

Authors and Affiliations

  • Chai-Jong Song
    • 1
  • Seok-Pil Lee
    • 1
  • Kyung-Hack Seo
    • 1
  • Kang Ryoung Park
    • 2
  1. 1.Digital Media Research Center, KETISeoulSouth Korea
  2. 2.Division of Electronics and Electrical EngineeringDongguk UniversitySeoulSouth Korea

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