Music Information Retrieval
Published January 7, 2019 | Version v1
Dataset Open

Leveraging diversity in computer-aided musical orchestration with an artificial immune system for multi-modal optimization

Creators

  • 1. INESC TEC
  • 2. Aristotle University of Thessaloniki

Contributors

  • 1. Universidad de Málaga

Description

Data resulting from the experiments described in "Leveraging diversity in computer-aided musical orchestration with an artificial immune system for multi-modal optimization" (https://doi.org/10.1016/j.swevo.2018.12.010). The contents of the files is the following:

  • CAMO-AIS_SWEVO.zip: All of the data below in a single file
  • CAMO_Iowa.zip: Audio and Data for the orchestrations with the Iowa sound database found at http://theremin.music.uiowa.edu/MIS.html
  • CAMO_Phil.zip: Audio and Data for the orchestrations with the Philharmonia sound database found at https://www.philharmonia.co.uk/explore/sound_samples
  • CAMO_RWC.zip: Audio and Data for the orchestrations with the RWC sound database found at https://staff.aist.go.jp/m.goto/RWC-MDB/rwc-mdb-i.html
  • CAMO_SOL.zip: Audio and Data for the orchestrations with the Studio Online sound database available with Orchids http://forumnet.ircam.fr/product/orchids-en/
  • Listening_Test.zip: Raw data (i.e., perceptual similarity ratings) from the listening test found at http://http://camo.inesctec.pt/. This data is anonymous (each participant is assigned a reference number) so the participants cannot be identified.

See the README.txt file for a detailed description of the contents of each file.

Notes

This work has been partially funded by the Portuguese foundation for science and technology FCT under grant \SFRH/BPD/115685/2016", by the Greek State Scholarships Foundation (co-funded by the European Social Fund) under grant \2016-050-050-3-8116", and by Ministerio de Economía y Competitividad of the Spanish Government under Project No. \TIN2016-75866-C3-2-R". Part of this work has been done at Universidad de Málaga, Campus de Excelencia Internacional Andalucía Tech.

Files

CAMO-AIS_SWEVO.zip

Files (1.2 GB)

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