Toward Evaluation Techniques for Music Similarity

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

Toward Evaluation Techniques for Music Similarity
Logan, Beth
Ellis, Daniel P. W.
Berenzweig, Adam
Electrical Engineering
Persistent URL:
Book/Journal Title:
SIGIR 2003: Workshop on the Evaluation of Music Information Retrieval Systems, 1 August 2003, Toronto, Canada
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.
Electrical engineering
Artificial intelligence
Item views
text | xml
Suggested Citation:
Beth Logan, Daniel P. W. Ellis, Adam Berenzweig, 2003, Toward Evaluation Techniques for Music Similarity, Columbia University Academic Commons, http://hdl.handle.net/10022/AC:P:13787.

Center for Digital Research and Scholarship at Columbia University Libraries | Terms of Use | Copyright