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Optimizing self-organizing timbre maps: Two approaches

IV. From Timbre to Texture

Part of the Lecture Notes in Computer Science book series (LNAI,volume 1317)

Abstract

The effect of using different auditory images and distance metrics on the final configuration of a self-organized timbre map is examined by comparing distance matrices obtained from simulations with a similarity rating matrix, obtained using the same set of stimuli as in the simulations. Two approaches are described. In the static approach, each stimulus is represented as a single multi-component vector. Gradient images, which are intended to represent idealizations of physiological gradient maps in the auditory pathway, are constructed. The optimal auditory image and distance metric, with respect to the similarity rating data, are searched using the gradient method. In the dynamic approach, each input stimulus is represented by a set of spectral vectors.The response patterns are constructed through temporal integration. The onset portions of the stimuli are emphasized using a scaling procedure which operates qualitatively in the same way as lateral inhibition.

Keywords

  • Spectral Image
  • Auditory Cortex
  • Temporal Integration
  • Gradient Image
  • Distance Metrics

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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© 1997 Springer-Verlag Berlin Heidelberg

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Toiviainen, P. (1997). Optimizing self-organizing timbre maps: Two approaches. In: Leman, M. (eds) Music, Gestalt, and Computing. JIC 1996. Lecture Notes in Computer Science, vol 1317. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0034124

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  • DOI: https://doi.org/10.1007/BFb0034124

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63526-0

  • Online ISBN: 978-3-540-69591-2

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