Title :
Special Sound Detection for emergency phones
Author :
Hansheng Lei ; Valdez, Oscar
Author_Institution :
Comput. & Inf. Sci., Univ. of Texas at Brownsville, Brownsville, TX, USA
Abstract :
Most emergency phones can be activated by a button press. However, to press the button requires the person needing help to touch the phone physically, which causes infeasibilities in practice: 1) it is hard for someone unfamiliar with the environment to locate an emergency phone quickly, and 2) even if the person knows where the phone is, she/he has to run a certain distance to reach it. Therefore, if an emergency phone is equipped with a sensor which can monitor special events such as a scream for help or a gun shooting, its capability of security surveillance will be increased tremendously. In this paper, we present a Special Sound Detection (SSD) algorithm we have successfully built and prototyped. The prototype is robust and yet simple to implement. The accuracy of detecting screams within a distance of 100 feet is 98.6%. For gunshots within 500 meters, the accuracy is 99.1%. The design of the algorithm is highly modular. It can be extended to detect other types of special sounds by adding relevant training samples.
Keywords :
audio signal processing; emergency management; mobile handsets; security; speech recognition; surveillance; SSD algorithm; audio signal; button press; emergency phones; gun shooting; scream detection; security surveillance; special event monitoring; special sound detection algorithm; Accuracy; Hidden Markov models; Microphones; Speech recognition; Surveillance; Training; detection; emergency; gunshot; sensor;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2013 10th International Conference on
Conference_Location :
Shenyang
DOI :
10.1109/FSKD.2013.6816306