• A research team at Universidad Carlos III de Madrid (UC3M) has developed technology using advanced machine learning techniques that detects signs of gender violence from paralinguistic characteristics of the voice such as tone, rhythm, and intensity. • This innovative method helps to recognize situations of psychological stress or trauma while preserving the privacy of the speakers, which could have major implications for telephone helplines and telemedicine services.
Article Summaries:
- Researchers at Universidad Carlos III de Madrid have created an AI system that can identify signs of gender‑based violence by analysing paralinguistic features of a speaker’s voice-such as tone, rhythm and intensity. The machine‑learning model detects psychological stress or trauma without accessing the content of the conversation, thereby protecting privacy. The team suggests the technology could be integrated into telephone helplines and telemedicine platforms, enabling earlier recognition of abuse and potentially improving support for victims.
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