Audio cover song identification based on tonal sequence alignment

TitleAudio cover song identification based on tonal sequence alignment
Publication TypeConference Paper
Year of Publication2008
Conference NameIEEE International Conference on Acoustics, Speech and Signal processing (ICASSP)
AuthorsSerrà, J., & Gómez E.
Pagination61-64
Conference Start Date31/03/2008
Conference LocationLas Vegas, USA
AbstractNowadays, the term cover song (or simply cover) can mean any new version, performance, rendition, or recording of a previously recorded track. Cover song identification is a task that has received increased popularity in the Music Information Retrieval (MIR) community in recent years, as it provides a direct and objective way for evaluating music similarity. In this paper, we propose a new method for determining the similarity between tonal sequences and, therefore, for identifying cover songs. This is based on a novel chroma similarity measure, and on a newly developed dynamic programming local alignment technique. Results confirm that the performance of the proposed system is significantly superior to other state-of-the-art approaches (more than 57% better).
Published documentfiles/publications/jserra_ICASSP08.pdf
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