Computers and musical style
Class-based n-gram models of natural language
Computational Linguistics
Algorithms on strings, trees, and sequences: computer science and computational biology
Algorithms on strings, trees, and sequences: computer science and computational biology
Automated Partitioning of Tonal Music
Proceedings of the Thirteenth International Florida Artificial Intelligence Research Society Conference
Automatic Characterisation of Musical Style
Proceedings of a Workshop held as part of AI-ED 93, World Conference on Artificial Intelligence in Education on Music Education: An Artificial Intelligence Approach
Discovering nontrivial repeating patterns in music data
IEEE Transactions on Multimedia
Melodic analysis with segment classes
Machine Learning
Segmental Pattern Discovery in Music
INFORMS Journal on Computing
Computer Music Journal
TWO GRAMMATICAL INFERENCE APPLICATIONS IN MUSIC PROCESSING
Applied Artificial Intelligence
OntoMusic: from Scores to Expressive Music Performances
Proceedings of the 2005 conference on Artificial Intelligence Research and Development
Mining polyphonic repeating patterns from music data using bit-string based approaches
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Towards music fitness evaluation with the hierarchical SOM
Evo'08 Proceedings of the 2008 conference on Applications of evolutionary computing
Voice-leading prototypes and harmonic function in two chorale corpora
MCM'11 Proceedings of the Third international conference on Mathematics and computation in music
Probabilistic and logic-based modelling of harmony
CMMR'10 Proceedings of the 7th international conference on Exploring music contents
A methodological contribution to music sequences analysis
ISMIS'06 Proceedings of the 16th international conference on Foundations of Intelligent Systems
Methods for combining statistical models of music
CMMR'04 Proceedings of the Second international conference on Computer Music Modeling and Retrieval
Evolutionary search for musical parallelism
EC'05 Proceedings of the 3rd European conference on Applications of Evolutionary Computing
A unified framework for heterogeneous patterns
Information Systems
Abstracting musical queries: towards a musicologist's workbench
CMMR'05 Proceedings of the Third international conference on Computer Music Modeling and Retrieval
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The automated discovery of recurrent patterns in music is a fundamental task in computational music analysis. This paper describes a new method for discovering patterns in the vertical and horizontal dimensions of polyphonic music. A formal representation of music objects is used to structure the musical surface, and several ideas for viewing pieces as successions of vertical structures are examined. A knowledge representation method is used to view pieces as sequences of relationships between music objects, and a pattern discovery algorithm is applied using this view of the Bach chorale harmonizations to find significant recurrent patterns. The method finds a small set of vertical patterns that occur in a large number of pieces in the corpus. Most of these patterns represent specific voice leading formulae within cadences.