• DOI:10.1109/TASL.2010.2041114
Corpus ID: 2182567

Source/Filter Model for Unsupervised Main Melody Extraction From Polyphonic Audio Signals

@article{Durrieu2010SourceFilterMF,
  title={Source/Filter Model for Unsupervised Main Melody Extraction From Polyphonic Audio Signals},
  author={Jean-Louis Durrieu and G. Richard and B. David and C. F{\'e}votte},
  journal={IEEE Transactions on Audio, Speech, and Language Processing},
  year={2010},
  volume={18},
  pages={564-575}
}

• Jean-Louis Durrieu, G. Richard, +1 author C. Févotte
• Published 2010
• Computer Science
• IEEE Transactions on Audio, Speech, and Language Processing

Extracting the main melody from a polyphonic music recording seems natural even to untrained human listeners. To a certain extent it is related to the concept of source separation, with the human ability of focusing on a specific source in order to extract relevant information. In this paper, we propose a new approach for the estimation and extraction of the main melody (and in particular the leading vocal part) from polyphonic audio signals. To that aim, we propose a new signal model where the… Expand

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