COSIN: Content-based retrieval system for cover songs

Yi Yu, J. Stephen Downie, Fabian Moerchen, Lei Chen, Kazuki Joe, Vincent Oria

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

1 Scopus citations

Abstract

We develop a content-based audio COver Song IdeNtification (COSIN) system to detect/group cover songs.The COSIN takes music audio content as input and performs similarity searching to locate variants of the input (i.e., cover versions). Identified cover songs are returned in the rank order according to their similarity to the input.The COSIN also incorporates a set of tools to evaluate retrieval performance so researchers can explore different retrieval schemes and parameters (e.g. recall, precision).The COSIN utilizes a suite of techniques to detect cover songs including: Pitch + Dynamic Programming (DP), Chroma + DP, and Semantic Feature Summarization (SFS) + Hash-Based Approximate Matching (HBAM). Demonstration system shows that COSIN is a very potential music content retrieval tool. Running some music retrieval schemes on COSIN platform, recent experiments with SFS + LSH Variants demonstrate a nicely balanced efficiency (search speed) v. performance (search accuracy) tradeoff.

Original languageEnglish (US)
Title of host publicationMM'08 - Proceedings of the 2008 ACM International Conference on Multimedia, with co-located Symposium and Workshops
Pages987-988
Number of pages2
DOIs
StatePublished - Dec 1 2008
Event16th ACM International Conference on Multimedia, MM '08 - Vancouver, BC, Canada
Duration: Oct 26 2008Oct 31 2008

Publication series

NameMM'08 - Proceedings of the 2008 ACM International Conference on Multimedia, with co-located Symposium and Workshops

Other

Other16th ACM International Conference on Multimedia, MM '08
Country/TerritoryCanada
CityVancouver, BC
Period10/26/0810/31/08

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition
  • Software

Keywords

  • Content-based audio retrieval
  • Cover songs
  • Hash-based indexing
  • Musical audio sequences summarization

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