Early event detection in audio streams

H. Phan, M. Maass, R. Mazur, A. Mertins

Abstract

Audio event detection has been an active field of research in recent years. However, most of the proposed methods, if not all, analyze and detect complete events and little attention has been paid for early detection. In this paper, we present a system which enables early audio event detection in continuous audio recordings in which an event can be reliably recognized when only a partial duration is observed. Our evaluation on the ITC-Irst database, one of the standard database of the CLEAR 2006 evaluation, shows that: on one hand, the proposed system outperforms the best baseline system by 16% and 8% in terms of detection error rate and detection accuracy respectively; on the other hand, even partial events are enough to achieve the performance that is obtainable when the whole events are observed.
OriginalspracheEnglisch
Titel2015 IEEE International Conference on Multimedia and Expo (ICME)
Seitenumfang6
Band2015-August
Herausgeber (Verlag)IEEE
Erscheinungsdatum01.06.2015
Seiten1-6
Aufsatznummer7177439
ISBN (elektronisch)978-1-4799-7082-7
DOIs
PublikationsstatusVeröffentlicht - 01.06.2015
VeranstaltungIEEE International Conference on Multimedia and Expo 2015 - Turin, Italien
Dauer: 29.06.201503.07.2015
Konferenznummer: 116035

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