Toward Evaluation Techniques for Music Similarity

Logan, Beth; Ellis, Daniel P. W.; Berenzweig, Adam

We describe and discuss our recent work developing a database, methodology and ground truth for the evaluation of automatic techniques for music similarity. Our database consists of acoustic and textual 'Web-mined' data covering 400 popular artists. Of note is our technique of sharing acoustic features rather than raw audio to avoid copyright problems. Our evaluation methodology allows any data source to be regarded as ground truth and can highlight which measure forms the best collective ground truth. We additionally describe an evaluation methodology that is useful for data collected from people in the form of a survey about music similarity. We have successfully used our database and techniques to evaluate a number of music similarity algorithms.


Also Published In

SIGIR 2003: Workshop on the Evaluation of Music Information Retrieval Systems, 1 August 2003, Toronto, Canada

More About This Work

Academic Units
Electrical Engineering
Published Here
July 2, 2012