@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},
}