Study shows AI can identify fear and danger in the voices of abused women

Esther Rituerto, a Spanish researcher, has been recognized for her work in using artificial intelligence to detect sexist violence. Her innovative approach involves analyzing a woman’s voice for signs of fear and surrounding sounds that signal danger to prevent attacks and combat sexist abuse.

Rituerto’s research is part of the UC3M4Safety project at the Carlos III University of Madrid, which aims to use technology to prevent, detect, and protect victims of gender violence. She and her team have developed electronic devices that can detect fear in victims through their voice and vital signs, triggering alerts to emergency services and law enforcement.

In addition to her work with speech and acoustic signals, Rituerto has also conducted research on using artificial intelligence to detect signs of gender violence in a woman’s voice. By analyzing voice patterns and characteristics, the technology can determine if a woman has been a victim of abuse with 73% accuracy.

The Government Delegation against Gender Violence in Spain has acknowledged Rituerto’s innovative approach to using technology in the fight against gender violence. They praise her use of artificial intelligence to understand women’s reactions to risk or danger and develop automatic mechanisms for detecting these situations based on sound cues.

Rituerto’s ongoing research focuses on using artificial intelligence to detect mental illnesses in brain images. Her work is paving the way for innovative technologies that can help protect victims of gender violence and improve detection and prevention methods in the future.

By Sophia Gonzalez

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