Sound recycling from public databases: Another BigData approach to sound collections

  title={Sound recycling from public databases: Another BigData approach to sound collections},
  author={Hern{\'a}n Ordiales and Mat{\'i}as Lennie Bruno},
  journal={Proceedings of the 12th International Audio Mostly Conference on Augmented and Participatory Sound and Music Experiences},
  • Hernán Ordiales, Matías Lennie Bruno
  • Published 23 August 2017
  • Computer Science
  • Proceedings of the 12th International Audio Mostly Conference on Augmented and Participatory Sound and Music Experiences
Discovering new sounds from large databases or Internet is a tedious task. Standard search tools and manual exploration fails to manage the actual amount of information available. This paper presents a new approach to the problem which takes advantage of grown technologies like Big Data and Machine Learning, keeping in mind compositional concepts and focusing on artistic performances. Among several different distributed systems useful for music experimentation, a new workflow is proposed based… 

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