Kernel Regression Mapping for Vocal EEG Sonification

Hermann T, Baier G, Stephani U, Ritter H (2008)
In: Proceedings of the International Conference on Auditory Display (ICAD 2008). Susini P, Warusfel O (Eds);Paris, France: IRCAM.

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Conference Paper | Published | English
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Editor
Susini, Patrick ; Warusfel, Olivier
Abstract
This paper introduces kernel regression mapping sonification (KRMS) for optimized mappings between data features and the parameter space of Parameter Mapping Sonification. Kernel regression allows to map data spaces to high-dimensional parameter spaces such that specific locations in data space with pre-determined extent are represented by selected acoustic parameter vectors. Thereby, specifically chosen correlated settings of parameters may be selected to create perceptual fingerprints, such as a particular timbre or vowel. With KRMS, the perceptual fingerprints become clearly audible and separable. Furthermore, kernel regression defines meaningful interpolations for any point in between. We present and discuss the basic approach exemplified by our previously introduced vocal EEG sonification, report new sonifications and generalize the approach towards automatic parameter mapping generators using unsupervised learning approaches.
Publishing Year
Conference
International Conference on Auditory Display (ICAD 2008)
Location
Paris, France
Conference Date
2008-06-24
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Hermann T, Baier G, Stephani U, Ritter H. Kernel Regression Mapping for Vocal EEG Sonification. In: Susini P, Warusfel O, eds. Proceedings of the International Conference on Auditory Display (ICAD 2008). Paris, France: IRCAM; 2008.
Hermann, T., Baier, G., Stephani, U., & Ritter, H. (2008). Kernel Regression Mapping for Vocal EEG Sonification. In P. Susini & O. Warusfel (Eds.), Proceedings of the International Conference on Auditory Display (ICAD 2008) Paris, France: IRCAM.
Hermann, T., Baier, G., Stephani, U., and Ritter, H. (2008). “Kernel Regression Mapping for Vocal EEG Sonification” in Proceedings of the International Conference on Auditory Display (ICAD 2008), ed. P. Susini and O. Warusfel (Paris, France: IRCAM).
Hermann, T., et al., 2008. Kernel Regression Mapping for Vocal EEG Sonification. In P. Susini & O. Warusfel, eds. Proceedings of the International Conference on Auditory Display (ICAD 2008). Paris, France: IRCAM.
T. Hermann, et al., “Kernel Regression Mapping for Vocal EEG Sonification”, Proceedings of the International Conference on Auditory Display (ICAD 2008), P. Susini and O. Warusfel, eds., Paris, France: IRCAM, 2008.
Hermann, T., Baier, G., Stephani, U., Ritter, H.: Kernel Regression Mapping for Vocal EEG Sonification. In: Susini, P. and Warusfel, O. (eds.) Proceedings of the International Conference on Auditory Display (ICAD 2008). IRCAM, Paris, France (2008).
Hermann, Thomas, Baier, Gerold, Stephani, Ulrich, and Ritter, Helge. “Kernel Regression Mapping for Vocal EEG Sonification”. Proceedings of the International Conference on Auditory Display (ICAD 2008). Ed. Patrick Susini and Olivier Warusfel. Paris, France: IRCAM, 2008.
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Supplementary Material for "Kernel Regression Mapping for Vocal EEG Sonification"
Hermann T, Baier G, Stephani U, Ritter H (2008)
Bielefeld University.
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