This paper describes the use of motif contour classes for efficient retrieval of melodies from music collections. Instead of extracting incipits or themes, complete monophonic pi...
In the automatic classification of music many different segmentations of the audio signal have been used to calculate features. These include individual short frames (23 ms), lon...
Cataloging a large, multi-media collection of traditional song and drama in preparation for online presentation highlights issues of song identity and access in the context of con...
Large music collections require new ways to let users interact with their music. The concept of finding ‘similar’ songs, albums, or artists provides handles to users for easy ...
Source separation techniques like independent component analysis and the more recent non-negative matrix factorization are gaining widespread use for the monaural separation of in...
This survey paper provides an overview of content-based music information retrieval systems, both for audio and for symbolic music notation. Matching algorithms and indexing metho...
The performance of autocorrelation-based metre induction was tested with two large collections of folk melodies, consisting of approximately 13,000 melodies in MIDI file format, f...
In order to train and test algorithms that can automatically detect drum events in polyphonic music, ground truth data is needed. This paper describes a setup used for gathering m...
Koen Tanghe, Micheline Lesaffre, Sven Degroeve, Ma...
We observed that for multimedia data – especially music - collaborative similarity measures perform much better than similarity measures derived from content-based sound feature...
This paper describes the use of the Autonomous Classification Engine (ACE) to classify beatboxing (vocal percussion) sounds. A set of unvoiced percussion sounds belonging to five ...