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Uninformed abnormal event detection on audio

: Bardeli, Rolf; Stein, Daniel

Preprint urn:nbn:de:0011-n-2249779 (378 KByte PDF)
MD5 Fingerprint: 9766f5761ad3dcc53f94beea6af47cae
Created on: 22.3.2013

Fingscheidt, Tim ; Informationstechnische Gesellschaft -ITG-, Fachausschuss Sprachakustik:
Sprachkommunikation 2012 : Beiträge zur 10. ITG-Fachtagung vom 26. bis 28. September 2012 in Braunschweig
Berlin: VDE-Verlag, 2012 (ITG-Fachbericht 236)
ISBN: 978-3-8007-3455-9
Fachtagung Sprachkommunikation <10, 2012, Braunschweig>
Conference Paper, Electronic Publication
Fraunhofer IAIS ()
abnormal event detection; audio; sound environment; adapting history

Although abnormal events in an audio stream are by their nature hard to define, a continuous monitoring of audio surveillance data can detect crucial information in, e.g., train engines that might require critical maintenance. Our method detects abnormal events without being trained on a certain situation, by building a model of the expected sound environment given a continuously adapting history of past audio material within a limited time interval. We evaluate the precision of this method on recordings from train rides.