Qi Li
ABSTRACT
Audio event detection is one of the most important applications in the multimedia sensor networks. In this paper, we present a Group Based Event Detection method, called GBED, to detect the audio events in the audio sensor networks. In the proposed method, we train the basic audio events separately based on statistical learning, and combine them together by some prior knowledge in specific domains. By using GBED we can combine the statistical learning and human knowledge together and reduce the training complexity for complex real-world situations. We deploy this approach on an audio sensor network to evaluate its performance, and the experiment evaluations demonstrate that GBED can achieve satisfied results.
- C. Clavel, T. Ehrette, G. Richard, "Events detection for an audio-based surveillance system." In Proc. IEEE ICME05, July 2005, Amsterdam, Netherlands, pp.1306--1309.Google Scholar
- S. Moncrieff, S. Venkatesh, G. West, "On-line background determination for complex audio environments." ACM Transaction on Multimedia Computing, Communications, and Applications. Vol.3, Issue 2, May. 2007. Google ScholarDigital Library
- R Cai, L.Lie, A. Hanjalic, H. J .Zhang and L. H. Cai, "A flexible framework for key audio effects detection and auditory context inference." IEEE Transactions on Audio, Speech, and Language Processing, Vol.14, Issue 3, May 2006, pp.1026--1039. Google ScholarDigital Library
- A.F. Smeaton, M. McHugh, "Towards event detection in an audio-based sensor network." Multimedia Systems, Vol.12, Issue 3, Dec 2006, pp.179--194.Google ScholarDigital Library
- Q.Li, H.D. Ma, Q.Huang. "A Hierarchical Framework for Audio Scene Analysis in Sensor Networks". In Proc. IRADSN2009, May 2009, Hangzhou, China, pp.170--177.Google Scholar
Index Terms
- GBED: group based event detection method for audio sensor networks
Recommendations
Audio Event Detection using Weakly Labeled Data
MM '16: Proceedings of the 24th ACM international conference on MultimediaAcoustic event detection is essential for content analysis and description of multimedia recordings. The majority of current literature on the topic learns the detectors through fully-supervised techniques employing strongly labeled data. However, the ...
A Neural Network Based Framework for Audio Scene Analysis in Audio Sensor Networks
PCM '09: Proceedings of the 10th Pacific Rim Conference on Multimedia: Advances in Multimedia Information ProcessingIn recent years, the audio sensor networks have been paid much attention. One of the most important applications of audio sensor networks is audio scene analysis. In this paper, we present a neural network based framework for analyzing the audio scene ...
A multi-class method for detecting audio events in news broadcasts
SETN'10: Proceedings of the 6th Hellenic conference on Artificial Intelligence: theories, models and applicationsWe propose a method for audio event detection in video streams from news Apart from detecting speech, which is obviously the major class in such content, the proposed method detects five non-speech audio classes The major difficulty of the particular ...
Comments