Hierarchical approach for abnormal acoustic event classification in an elevator

2011 8th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2011

Volumn , Issue , 2011, Pages 89-94

  Kim, Kwangyoun ^a   Ko, Hanseok ^a  

^a Korea University   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

ACOUSTIC EVENT CLASSIFICATION; ACOUSTIC EVENTS; ACOUSTIC FEATURES; CLASSIFICATION PERFORMANCE; DETECTION RATES; GAUSSIAN MIXTURE MODEL; HIERARCHICAL APPROACH; HIERARCHICAL METHOD; MEL-FREQUENCY CEPSTRAL COEFFICIENTS; PERFORMANCE EVALUATION;

ELEVATORS; ERROR DETECTION; MAXIMUM LIKELIHOOD ESTIMATION; SECURITY SYSTEMS; SPEECH RECOGNITION;

SIGNAL DETECTION;

EID: 80053935158     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/AVSS.2011.6027300     Document Type: Conference Paper

References (15)

1. R. S. Goldhor, "Recognition of Environmental Sounds,"Proc. ICASSP, vol. 1, pp. 149-152, New York, NY, USA, April 1993)
2. Regunathan Radhakrishnan, Ajay Divakaran and Paris Smaragdis, "Systematic Acquisition of Audio Classes for Eleator Surveillance, "Mitsubishi Electric Research Laboratory, December 2005
3. B. Clarkson, N. Sawhney, and A. Pentland, "Auditory context awareness via wearable computing", Proc. Workshop on Perceptual User Interface(PUT'98), San Francisco, CA, Nov 4-6, pp. 37-42, 1998.
4. L. Ma, B. Milner, and D. Smith, "Environmental noise classification for context-aware application", International Conference and Worrkshop on Database and Expert Systems Applications(DEXA), LNCS 2736, pp.360-370, 2003.
5. L. Ma, B. Milner and D. Smith, "Acoustic Environment Classification," ACM Trans, Speech and Language Process, vol. 3, no. 2, July 2006, pp. 1-22.
6. M. Cowling and R. Sitte, "Comparison of techniques for environmental sound recognition,"Pattern Recognition Letters 24 (2003) pp .2895-2907.
7. A. J. Eronen, et al., "Audio-Based Context Recognition", IEEE Trans, Audio, Speech and Language Process, vol. 14, no. 1, Jan 2006
8. P. Gaunard, C.G. Mubikangiey, C. Couvneur, V. Fontaine, "Automatic classification of environmental noise events by hidden markov model", Acoustics, Speech, and Signal Processing, Proceedings of the 1998 IEEE International Conference on, pp.3609-3612, vol. 6, 1998.
9. G. Guo, S.Z. Li, "Content-based audio classification and retrieval by support vector machines", IEEE Transaction on Neural Networks, Vol. 14, No.1, January 2003.
10. A. Temko, E. Monte, C. Nadeu, "Comparison of sequence discriminant support vector machines for acoustic event classification", Acoustics, Speech and Signal Processing, 2006, ICASSP 2006 Proceedings. 2006 IEEE International Conference on., 2006.
11. Olivier Lartillot,Petri Toiviainen, Tuomas Eerola, "A matlab tool box for music information retrieval", in C.Preisach, H. Burkhardt, L.Schmidt-Thieme, R.Decker(Eds.), Data Analysis, Machine Learning and Applications, Studies in Classification, Data Analysis, and Knowledge Organization, Springer-Verlag, 2008
12. George Tzanetakis, Perry Cook, "Musical genre classification of audio signals", IEEE Trans, Speech and Audio processing, vol. 10, no. 5, July 2002
13. Pradeep K. Atrey, Namunu C. Maddage and Mohan S. Kankanhalli, "Audio based event detection for multimedia surveillance", ICASSP p 2006, pp. V.813-V.816
14. The HTK book Version 3.4, Cambridge University Engineering Department, March, 2009.
15. Stavros Ntalampiras, Ilyas Potamitis, and Nikos Fakotakis, "Identification of Abnormal Audio Events Based on Probabilistic Novelty Detection", in Interspeech, pp.2218-2221, Japan, September, 2010.