@inproceedings{HermannBaierStephaniRitter2006-VSO,
	Abstract = {We introduce a novel approach in EEG data sonification for process monitoring and exploratory as well as comparative data analysis. The approach uses an excitory/articulatory speech model and a particularly selected parameter mapping to obtain auditory gestalts (or auditory objects) that correspond to features in the multivariate signals. The sonification is adaptable to patient-specific data patterns, so that only characteristic deviations from background behavior (pathologic features) are involved in the sonification rendering. Thus the approach combines data mining techniques and case-dependent sonification design to give an application-specific solution with high potential for clinical use. We explain the sonification technique in detail and present sound examples from clinical data sets. },
	Address = {London, UK},
	Author = {Hermann, Thomas and Baier, Gerold and Stephani, Ulrich and Ritter, Helge},
	Booktitle = {Proceedings of the International Conference on Auditory Display (ICAD 2006)},
	Editor = {Stockman, Tony},
	Isbn = {0-902-23821-3},
	Month = {06},
	Organization = {International Community for Auditory Display (ICAD)},
	Pages = {158--163},
	Publisher = {Department of Computer Science, Queen Mary, University of London},
	Title = {Vocal Sonification of Pathologic {EEG} Features},
	Year = {2006},
	Bdsk-Url-1 = {http://www.dcs.qmul.ac.uk/icad2006/proceedings/papers/f70.pdf}}