research data . Dataset . 2016

Experiments of the Paper "MORTY: A Toolbox for Mode Recognition and Tonic Identification"

Şentürk, Sertan;
Open Access
  • Published: 14 Jul 2016
  • Publisher: Zenodo
Abstract
<p>This package contains the complete experimental data explained in:</p> <blockquote> <p>Karakurt, A., Şentürk S., &amp; Serra X. (In Press).  MORTY: A Toolbox for Mode Recognition and Tonic Identification. 3rd International Digital Libraries for Musicology Workshop. </p> </blockquote> <p>Please cite the paper above, if you are using the data in your work.</p> <p>The zip file includes the folds, features, training and testing data, results and evaluation file. It is part of the experiments hosted in github (https://github.com/sertansenturk/makam_recognition_experiments/tree/dlfm2016) in the  folder call ".<strong>/data</strong>". We host the experimental data i...
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Subjects
free text keywords: Ottoman-Turkish makam music, classification, mode recognition, tonic identification, k-nearest neighbors, pitch class distribution, toolbox, reproducibility, open source software, Biophysics, Biochemistry, Genetics, Molecular Biology, Neuroscience, Biotechnology, Evolutionary Biology, Developmental Biology, Inorganic Chemistry, Science Policy, Plant Biology, Information Systems not elsewhere classified
Related Organizations
Funded by
EC| COMPMUSIC
Project
COMPMUSIC
Computational models for the discovery of the world's music
  • Funder: European Commission (EC)
  • Project Code: 267583
  • Funding stream: FP7 | SP2 | ERC
Communities
Science and Innovation Policy Studies
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Dataset . 2016
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Dataset . 2016
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Dataset . 2016
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