Melody Extraction From Polyphonic Music Signals Using Pitch Contour Characteristics

@article{Salamon2012MelodyEF,
  title={Melody Extraction From Polyphonic Music Signals Using Pitch Contour Characteristics},
  author={Justin Salamon and Emilia G{\'o}mez},
  journal={IEEE Transactions on Audio, Speech, and Language Processing},
  year={2012},
  volume={20},
  pages={1759-1770}
}
  • J. Salamon, E. Gómez
  • Published 1 August 2012
  • Computer Science
  • IEEE Transactions on Audio, Speech, and Language Processing
We present a novel system for the automatic extraction of the main melody from polyphonic music recordings. [] Key Method This leads to the development of new voicing detection, octave error minimization and melody selection techniques. A comparative evaluation of the proposed approach shows that it outperforms current state-of-the-art melody extraction systems in terms of overall accuracy. Further evaluation of the algorithm is provided in the form of a qualitative error analysis and the study of the effect…
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TLDR
This work proposes a system that acknowledges that the voice may not dominate the polyphony at all instants and therefore tracks an additional pitch to better deal with the potential presence of locally dominant pitched accompaniment and outperforms another state-of-the-art melody extraction system designed for polyphonic music.
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