COSIN: Content-based retrieval system for cover songs

Document Type

Conference Proceeding

Publication Date

12-1-2008

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.

Identifier

70350625182 (Scopus)

ISBN

[9781605583037]

Publication Title

Mm 08 Proceedings of the 2008 ACM International Conference on Multimedia with Co Located Symposium and Workshops

External Full Text Location

https://doi.org/10.1145/1459359.1459542

First Page

987

Last Page

988

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