A System for Detecting Unusual Sounds from Sound Environment Observed by Microphone Arrays

In this paper, we propose a system that can detect unusual sounds and directions by observing sound environment with microphone arrays. One of the attractive features of the system is to detect the unusual information through daily environmental sound measurement. Therefore the system does not require such troublesome processes that the detected sounds must be predefined, the predefined sounds must be collected, and using the collected sounds, their features must be modeled, where the conventional systems have such troublesomeness. Moreover, unlike conventional systems using video cameras, our system is not limited by video camera angles. A simple experimental result shows the validity of the proposed system.

[1]  Seung-Yong Chun,et al.  Acoustic intruder detection system for home security , 2005, IEEE Transactions on Consumer Electronics.

[2]  Arye Nehorai,et al.  Acoustic vector-sensor array processing , 1994, IEEE Trans. Signal Process..

[3]  Andrey Temko,et al.  Classification of meeting-room acoustic events with support vector machines and variable-feature-set clustering , 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

[4]  Futoshi Asano,et al.  Sound source localization and separation based on the EM algorithm , 2004, SAPA@INTERSPEECH.

[5]  Chloé Clavel,et al.  Events Detection for an Audio-Based Surveillance System , 2005, 2005 IEEE International Conference on Multimedia and Expo.

[6]  Mark Hasegawa-Johnson,et al.  Acoustic fall detection using Gaussian mixture models and GMM supervectors , 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

[7]  Akinori Ito,et al.  Detection of Abnormal Sound Using Multi-stage GMM for Surveillance Microphone , 2009, 2009 Fifth International Conference on Information Assurance and Security.

[8]  R.A. Goubran,et al.  Security-Monitoring using Microphone Arrays and Audio Classification , 2005, 2005 IEEE Instrumentationand Measurement Technology Conference Proceedings.

[9]  Dan Istrate,et al.  Sound Detection and Classification for Medical Telesurvey , 2004 .

[10]  Fausto Pellandini,et al.  Automatic sound detection and recognition for noisy environment , 2000, 2000 10th European Signal Processing Conference.

[11]  Guodong Guo,et al.  Content-based audio classification and retrieval by support vector machines , 2003, IEEE Trans. Neural Networks.

[12]  Elias Pampalk,et al.  Computational Models of Music Similarity and their Application in Music Information Retrieval , 2006 .

[13]  R. O. Schmidt,et al.  Multiple emitter location and signal Parameter estimation , 1986 .

[14]  Lie Lu,et al.  Highlight sound effects detection in audio stream , 2003, 2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698).

[15]  Nikos Fakotakis,et al.  On acoustic surveillance of hazardous situations , 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.