Difference between revisions of "MIR workshop 2008"

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(potential software, libraries, examples)
(potential software, libraries, examples)
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* CLAM
 
* CLAM
 
* Machine Learning Libraries
 
* Machine Learning Libraries
* Weka Machine Learning and Data Mining Toolbox, Netlab Pattern Recognition and Clustering Toolbox, libsvm SVM Toolbox.
+
* Weka Machine Learning and Data Mining Toolbox (Standalone app / Java)
 +
* Netlab Pattern Recognition and Clustering Toolbox (Matlab)
 +
* libsvm SVM toolbox (Matlab)
  
 
== Abstract ==  
 
== Abstract ==  

Revision as of 18:51, 4 March 2008

CCRMA Workshop: Music Information Retrieval

This is Jay and Ge's brainstorming page for this summer's MIR workshop.

logistics

  • Summer 2008
  • Instructors: Jay LeBoeuf and Ge Wang


potential workshop titles

  • Music Information Retrieval
  • Information Retrieval in the Service of Music
  • Music Information Retrieval and Applications for Computer Audio
  • Intelligent Audio Systems : A review of the foundations and applications of Semantic Audio Analysis and Music Information Retrieval

workshop outline

  • (example bullet)
    • (example sub-bullet)


potential software, libraries, examples

  • MATLAB
  • ChucK / UAna
  • Marsyas
  • CLAM
  • Machine Learning Libraries
  • Weka Machine Learning and Data Mining Toolbox (Standalone app / Java)
  • Netlab Pattern Recognition and Clustering Toolbox (Matlab)
  • libsvm SVM toolbox (Matlab)

Abstract

This workshop will target students, researchers, and industry audio engineers who are unfamiliar with the field of Music Information Retrieval (MIR). We will demonstrate the myriad of exciting technologies enabled by the fusion of basic signal processing techniques with machine learning and pattern recognition. The presentations will be applied, multimedia-rich, overview of the building blocks of modern MIR systems. Our goal is to make highly-interdisciplinary technologies and dauntingly-complex algorithms approachable.

Labs will allow students to design basic ground-up "intelligent audio" systems, use existing MIR toolboxes, applications, and complex systems.