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.
|Title of host publication
|2015 IEEE International Conference on Multimedia and Expo (ICME)
|Number of pages
|Published - 01.06.2015
|IEEE International Conference on Multimedia and Expo 2015 - Turin, Italy
Duration: 29.06.2015 → 03.07.2015
Conference number: 116035