Manipulation of music for melody matching
MULTIMEDIA '98 Proceedings of the sixth ACM international conference on Multimedia
Content-based retrieval for music collections
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Introduction to Algorithms
Modeling Meter and Harmony: A Preference-Rule Approach
Computer Music Journal
The design and experimental analysis of algorithms for temporal reasoning
Journal of Artificial Intelligence Research
Query by humming with the VocalSearch system
Communications of the ACM - Music information retrieval
Music retrieval: a tutorial and review
Foundations and Trends in Information Retrieval
A comparison of melodic segmentation techniques for music information retrieval
ECDL'05 Proceedings of the 9th European conference on Research and Advanced Technology for Digital Libraries
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We have created a system that identifies musical "keywords" or themes. The system searches for all patterns composed of melodic (intervallic for our purposes) repetition in a piece. This process generally uncovers a large number of patterns, many of which are either uninteresting or only superficially important. Filters reduce the number or prevalence, or both, of such patterns. Patterns are then rated according to perceptually significant characteristics. The top-ranked patterns correspond to important thematic or motivic musical content, as has been verified by comparisons with published musical thematic catalogs. The system operates robustly across a broad range of styles, and relies on no meta-data on its input, allowing it to independently and efficiently catalog multimedia data.