Musical instrument recognition using cepstral coefficients and temporal features

@article{Eronen2000MusicalIR,
  title={Musical instrument recognition using cepstral coefficients and temporal features},
  author={Antti J. Eronen and A. Klapuri},
  journal={2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100)},
  year={2000},
  volume={2},
  pages={II753-II756 vol.2}
}
  • Antti J. Eronen, A. Klapuri
  • Published 2000
  • Computer Science
  • 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100)
In this paper, a system for pitch independent musical instrument recognition is presented. A wide set of features covering both spectral and temporal properties of sounds was investigated, and their extraction algorithms were designed. The usefulness of the features was validated using test data that consisted of 1498 samples covering the full pitch ranges of 30 orchestral instruments from the string, brass and woodwind families, played with different techniques. The correct instrument family… Expand
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