Study finds AI can detect fear and danger in the voices of abused women

Spanish Researcher’s Pioneering Use of Audio Technology and AI Combats Gender Violence.

Spanish researcher Esther Rituerto has received recognition for her innovative use of audio technology and artificial intelligence in preventing and combating sexist abuse. Her research focuses on using speech and acoustic signals to detect when a woman may be in danger, by analyzing the fear in her voice and surrounding sounds such as footsteps, blows, and breaking objects.

Rituerto’s work, conducted as part of the UC3M4Safety project at the Carlos III University of Madrid, aims to develop electronic devices that can detect fear in victims of gender violence through their voice or vital signs. These devices, such as pendants with microphones and bracelets to monitor biological markers, are connected to smartphones that can alert emergency services and the police in case of danger.

The Government Delegation against Gender Violence emphasizes the significance of Rituerto’s research and its potential impact on improving protection systems for victims of gender violence. Her work shows promising results in detecting signs of abuse through voice analysis, with an accuracy rate of 73%. In addition to her work on gender violence prevention, Rituerto is involved in research on using artificial intelligence to detect mental illnesses through brain imaging.

Rituerto’s innovative use of technology demonstrates the power of AI in enhancing protection and support for vulnerable populations. Her work has already shown promising results in detecting signs of abuse through voice analysis, with an accuracy rate of 73%. The Government Delegation against Gender Violence recognizes the importance of this technology and its potential impact on improving protection systems for victims of gender violence.

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