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  4. Automatic competency assessment of rhythm performances of ninth-grade and tenth-grade pupils
 
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2014
Conference Paper
Title

Automatic competency assessment of rhythm performances of ninth-grade and tenth-grade pupils

Abstract
In this paper, we introduce an approach for automated testing of music competency in rhythm production of ninth-grade and tenth-grade pupils. This work belongs in the larger context of modeling ratings of vocal and instrumental performances. Our approach relies on audio recordings from a specialized mobile application. Rhythmic features were extracted and used to train a machine-learning model which was targeted to approximate human ratings. Using two classes to assess the rhythmic performance, we obtained a mean class accuracy of 0.86.
Author(s)
Abeßer, J.  
Dittmar, C.  
Grollmisch, S.  
Hasselhorn, J.
Lehmann, A.
Mainwork
Music technology meets philosophy. From digital echos to virtual echos. Vol.2  
Conference
International Computer Music Conference (ICMC) 2014  
Sound and Music Computing Conference (SMC) 2014  
Link
Link
Language
English
Fraunhofer-Institut für Digitale Medientechnologie IDMT  
Keyword(s)
  • automatic music analysis

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