@inproceedings{b6400938ab2a4ca0843831ef6b718618,
title = "COSIN: Content-based retrieval system for cover songs",
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.",
keywords = "Content-based audio retrieval, Cover songs, Hash-based indexing, Musical audio sequences summarization",
author = "Yi Yu and Downie, {J. Stephen} and Fabian Moerchen and Lei Chen and Kazuki Joe and Vincent Oria",
year = "2008",
doi = "10.1145/1459359.1459542",
language = "English (US)",
isbn = "9781605583037",
series = "MM'08 - Proceedings of the 2008 ACM International Conference on Multimedia, with co-located Symposium and Workshops",
pages = "987--988",
booktitle = "MM'08 - Proceedings of the 2008 ACM International Conference on Multimedia, with co-located Symposium and Workshops",
note = "16th ACM International Conference on Multimedia, MM '08 ; Conference date: 26-10-2008 Through 31-10-2008",
}