Dynamic neural networks applied to melody retrieval

  • Authors:

  • Laura E. Gomez;Humberto Sossa;Ricardo Barron;Julio F. Jimenez

  • Affiliations:

  • Centro de Investigación en Computación-IPN, Unidad Profesional Adolfo-López Mateos, México, DF., Mexico;Centro de Investigación en Computación-IPN, Unidad Profesional Adolfo-López Mateos, México, DF., Mexico;Centro de Investigación en Computación-IPN, Unidad Profesional Adolfo-López Mateos, México, DF., Mexico;Centro de Investigación en Computación-IPN, Unidad Profesional Adolfo-López Mateos, México, DF., Mexico

  • Venue:
  • MICAI'10 Proceedings of the 9th Mexican international conference on Artificial intelligence conference on Advances in soft computing: Part II
  • Year:
  • 2010

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Abstract

A new method for the retrieval of melodies from a database is described in this paper. For its functioning, the method makes use of Dynamic Neural Networks (DNN). During training a set of DNN is first trained with information of the melodies to be retrieved. Instead of using traditional signal descriptors we use the matrix of synaptic weights that can be efficiently used for melody representation and retrieval. Most of the reported works have been focused on the symbolic representation of musical information. None of them have provided good results with original signals.