An app that can detect distress speech and trigger SOS
New Delhi, October 21 (India Science Wire): Just imagine a smartphone app that can ‘listen’ to distress calls and automatically trigger an alert to your home or the police. This is what Rakshak – a new Adroid app developed by innovators from Delhi-based Bharti Vidyapeeth College of Engineering, does. It is designed to detect speech patterns via a phone’s microphone and generate an SOS. The audio snippets with speech commands requesting help or saying “stop” in distressed tones can be detected by the app and message is automatically sent to emergency contact specified by the use, along with the location of the user. The innovation won the first prize in a national contest organized in India by the US-based Marconi Society under its Celestini Program. The winning team of Piyush Agrawal, Subham Banga, Aniket Sharma and Ujjwal Upadhyay presented their work at a function held at Indian Institute of Technology Delhi on Monday. An app that can detect distress speech and trigger SOS New Delhi, October 21 (India Science Wire): Just imagine a smartphone app that can ‘listen’ to distress calls and automatically trigger an alert to your home or the police. This is what Rakshak – a new Adroid app developed by innovators from Delhi-based Bharti Vidyapeeth College of Engineering, does. It is designed to detect speech patterns via a phone’s microphone and generate an SOS. The audio snippets with speech commands requesting help or saying “stop” in distressed tones can be detected by the app and message is automatically sent to emergency contact specified by the use, along with the location of the user. The innovation won the first prize in a national contest organized in India by the US-based Marconi Society under its Celestini Program. The winning team of Piyush Agrawal, Subham Banga, Aniket Sharma and Ujjwal Upadhyay presented their work at a function held at Indian Institute of Technology Delhi on Monday. For developing the app, the team started with publicly available speech command datasets, and added speech commands specific to the scenario of women’s safety. They also collected additional speech data through crowd-sourcing. This enabled…