The main objective of the system is that it should be able to accurately detect and localize screams without any human intervention. An application that automatically detects human screams during hazardous situations and speed dial emergency numbers along with the location of the person.

Speech Recognition - MFCC, GFCC

Machine Learning- SVM

Andriod Studio

1000 sound events collected from -Human Sound Effect (www.sound-ideas.com) -Freesound.org

240 Scremas and 760 Non-screams

Non-Screams (22 types):

Applause, babycry, cheering, cough, crowd, door-slam, groan, grunt, gunshot, kiss, laugh, nose- blow, phone-ring, sniff, sniffle, snore, snort, speech, spit, throat, vocal, whistle