Identification of perceptual qualities in textural sounds using the repertory grid method

  • Authors:
  • Thomas Grill;Arthur Flexer;Stuart Cunningham

  • Affiliations:
  • Austrian Research Institute for Artificial Intelligence (OFAI), Vienna, Austria;Austrian Research Institute for Artificial Intelligence (OFAI), Vienna, Austria;Glyndwr University, Wrexham, UK

  • Venue:
  • Proceedings of the 6th Audio Mostly Conference: A Conference on Interaction with Sound
  • Year:
  • 2011

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Abstract

This paper is about exploring which perceptual qualities are relevant to people listening to textural sounds. Knowledge about those personal constructs shall eventually lead to more intuitive interfaces for browsing large sound libraries. By conducting mixed qualitative-quantitative interviews within the repertory grid framework ten bi-polar qualities are identified. A subsequent web-based study yields measures for inter-rater agreement and mutual similarity of the perceptual qualities based on a selection of 100 textural sounds. Additionally, some initial experiments are conducted to test standard audio descriptors for their correlation with the perceptual qualities.