Visualization of a Clustering Algorithm of Sound Sources based on Localization Errors

  • A module for soundscape monitoring and visualizing resource management processes was extended for presenting clusters, generated by a novel sound source clustering algorithm. This algorithm groups multiple sound sources together into a single representative source, considering localization errors depending on listener orientation. Localization errors are visualized for each cluster using resolution cones. Visualization is done in runtime and allows understanding and evaluation of the clustering algorithm.

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Metadaten
Author:Jens HerderORCiDGND
Fachbereich/Einrichtung:Hochschule Düsseldorf / Fachbereich - Medien
Document Type:Conference Proceeding
Year of Completion:1999
Language:English
Place of publication:Aizu-Wakamatsu
Parent Title (English):Second International Conference on Human and Computer
First Page:1
Last Page:5
Tag:Resource Management; Sound Spatialization; Visualization; audio rendering, clustering; human perception
Licence (German):keine Lizenz - nur Metadaten
Release Date:2019/02/11