Towards the characterization of singing styles in world music

@article{Panteli2017TowardsTC,
  title={Towards the characterization of singing styles in world music},
  author={Maria Panteli and Rachel M. Bittner and J. Bello and S. Dixon},
  journal={2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  year={2017},
  pages={636-640}
}
  • Maria Panteli, Rachel M. Bittner, +1 author S. Dixon
  • Published 2017
  • Computer Science
  • 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • In this paper we focus on the characterization of singing styles in world music. We develop a set of contour features capturing pitch structure and melodic embellishments. Using these features we train a binary classifier to distinguish vocal from non-vocal contours and learn a dictionary of singing style elements. Each contour is mapped to the dictionary elements and each recording is summarized as the histogram of its contour mappings. We use K-means clustering on the recording… CONTINUE READING
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