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Using Evolutionary Algorithms to Find the Melody of a Musical Piece

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Advances in Artificial Intelligence (CAEPIA 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9868))

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Abstract

The melody of a piece of music contains the essence of that piece. Its study has been done for centuries, evolving side by side with other concepts and notions of music. However, musical analysis techniques are known to be analyst dependent (i.e., subjective), thus we propose a mathematical approach for characterizing the melody by fitting a curve to the pitch contour. This melody fitting will be calculated by an evolutionary algorithm, and we will use a wide set of musical pieces of many different styles to ground our claims. As a conclusion, we not only compute melodies out of a piece of music, but we also offer a new way of encapsulating components of this melody, what could lead to future applications in music composition and understanding.

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Notes

  1. 1.

    For audio samples please refer to http://neo.lcc.uma.es/staff/acamero.

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Acknowledgments

This work has been partially funded by the Spanish MINECO and FEDER project TIN2014-57341-R (http://moveon.lcc.uma.es).

Author information

Authors and Affiliations

  1. Departamento de Lenguajes y Ciencias de la Computación, Universidad de Málaga, Andalucía Tech, Málaga, Spain

    Enrique Alba & Andrés Camero

Authors
  1. Enrique Alba
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  2. Andrés Camero
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Corresponding author

Correspondence to Andrés Camero .

Editor information

Editors and Affiliations

  1. Artificial Intelligence Center, University of Oviedo, Gijón, Spain

    Oscar Luaces

  2. University of Castilla-La Mancha , Albacete, Spain

    José A. Gámez

  3. Public University of Navarre , Pamplona, Spain

    Edurne Barrenechea

  4. Universidad Pablo de Olavide , Sevilla, Spain

    Alicia Troncoso

  5. Public University of Navarre , Pamplona, Navarra, Spain

    Mikel Galar

  6. University of Salamanca , Salamanca, Spain

    Héctor Quintián

  7. University of Salamanca , Salamanca, Spain

    Emilio Corchado

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Alba, E., Camero, A. (2016). Using Evolutionary Algorithms to Find the Melody of a Musical Piece. In: Luaces , O., et al. Advances in Artificial Intelligence. CAEPIA 2016. Lecture Notes in Computer Science(), vol 9868. Springer, Cham. https://doi.org/10.1007/978-3-319-44636-3_30

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  • DOI: https://doi.org/10.1007/978-3-319-44636-3_30

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-44635-6

  • Online ISBN: 978-3-319-44636-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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