MUMBAI, India, Feb. 27 -- Intellectual Property India has published a patent application (202541134204 A) filed by Dhaanish Ahmed College Of Engineering, Chennai, Tamil Nadu, on Dec. 31, 2025, for 'real time depression detection system using audio and text analysis.'
Inventor(s) include Dr. P. Paramasivan; Dr. K. Senthamil Selvan; Mrs. A. T. Ashmi Christus; Dr. R. Arasi; Mrs. P. Sudha; Mr. K. Kandan; Mr. M. Hariprakash; and Mr. K. Sakthivel.
The application for the patent was published on Feb. 27, under issue no. 09/2026.
According to the abstract released by the Intellectual Property India: "The present invention cliscloses a real-time system and method for detecling depression by fusing multi modal analysis of audio and text data. Current mental health assessments rely heavily on subjective self-rep01iing and periodic clinical evaluations, which can be biased and fail to capture a patient's state in their natural environment. This system continuously and passively analyzes a user's spoken language and vocal characteristics during their everyday interactions with devices like smartphones or computers. The audio analysis module extracts paralinguistic features such as prosody, spectral properties, and speech rate, known to be biomarkers for depression. Simultaneously, the text analysis module processes the transcribed speech using natural language processing (NLP) to identify depressive linguistic markers, including negative sentiment, first-person pronoun usage, and reduced semantic richness. A deep learning-based fusion model integrates these audio and text fealures to generate a real-time probability score indicating the user's level of depressive symptoms. The system provides timely, objective insights to individuals and healthcare providers, enabling early intervention and continuous monitoring outside of clinical settings."
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