Jan 3, 2026 · AI-enabled voice analysis detects real-time stress by examining vocal frequency and pitch . Stress triggers physiological changes that directly alter speech patterns and vocal characteristics. Algorithms analyze prosodic features like speech rate and acoustic features such as fundamental frequency. This technology, part of Affective Computing, offers potential for early mental health intervention.
Sep 20, 2023 · This study focuses on mental healthcare, specifically on the detection of anxiety and depression. We present a comparison of results based on the application of various model/feature combinations on the task of detecting anxiety and depression from audio signals of spontaneous speech.
Mar 21, 2024 · We present a comparison of results based on the application of various model/feature combinations on the task of detecting anxiety and depression from audio signals of spontaneous speech. The adopted models comprise several different advanced deep neural networks,...
Sep 25, 2025 · Conclusions The Voice of Mind model demonstrates the feasibility of using speech data to support mental health diagnostics. Its capacity to distinguish between depression and anxiety , while maintaining generalization across nonpathological voices, suggests its potential as a clinical decision-support tool.
