Automatic Scream Detector Application
Amrutha Korumilli
Automatic Scream Detector
Description:
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.
Technologies Used:
Speech Recognition - MFCC, GFCC
Machine Learning- SVM
Andriod Studio
Architecture of the Project:
Experiments and Results
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
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Posted May 28, 2025
Developed an app to detect screams and alert emergency services.
