@InProceedings{Kroschel2022_1158,
author = {Kristian Kroschel},
booktitle = {Studientexte zur Sprachkommunikation: Elektronische Sprachsignalverarbeitung 2022},
title = {Detection of salient events in an acoustical scene},
year = {2022},
editor = {Oliver Niebuhr and Malin Svensson Lundmark and Heather Weston},
month = mar,
pages = {188--195},
publisher = {TUDpress, Dresden},
abstract = {An event in an acoustical scene is salient if it is different from other
events in the scene. The event in this paper is the utterance gut in German and the
sound of keys falling on a hard surface. The other events are white and coloured
noise and a constant sinusoidal tone. Humans are able to detect salient acoustic
events in a scene with background signals carrying no information due to their
stationarity like noise or a constant sinusoid. A lot of research has been done to
detect salient events in image processing which is based on the Kullback-Leibler
divergence. The basis of this approach is the prior and posterior information carried
by the corresponding probability densities which is known from video analysis and
transferred to an audio scene. It is shown that the relevant events utterance and the
sound of the falling keys can be marked reliably even if they are severely corrupted
by irrelevant events in the background like noise or a constant sine wave.},
isbn = {978-3-95908-548-9},
issn = {0940-6832},
keywords = {Signal Processing & Comprehension},
url = {https://www.essv.de/pdf/pdf/2022_188_195.pdf},
}