#speech-analysis News & Analysis

3 articles tagged with #speech-analysis. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

3 articles

AIBullisharXiv – CS AI · May 127/10

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Voice Biomarkers for Depression and Anxiety

Researchers have developed a deep learning model trained on ~65,000 speech samples from over 23,000 U.S. subjects that can detect depression and anxiety from voice biomarkers with 71% accuracy in sensitivity and specificity. The model extracts content-agnostic acoustic features combined with lexical information, demonstrating that raw speech analysis outperforms traditional hand-engineered acoustic descriptors for mental health screening.

🏢 Hugging Face

AINeutralarXiv – CS AI · 3d ago6/10

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Exploration of Perceptual Speech Features for Clinical Decision-Support in Mental Health Care

Researchers have developed a speech analysis framework that uses acoustic and linguistic features to support mental health assessment for depression, anxiety, and ADHD. The approach combines interpretable machine learning with clinically grounded speech markers like prosody and vocal quality, demonstrating consistent relationships between speech patterns and symptom severity across multiple datasets.

AIBullisharXiv – CS AI · Mar 27/1016

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MINT: Multimodal Imaging-to-Speech Knowledge Transfer for Early Alzheimer's Screening

Researchers developed MINT, a framework that transfers knowledge from MRI brain scans to speech analysis for early Alzheimer's detection. The system achieves comparable performance to speech-only methods while being grounded in neuroimaging biomarkers, enabling population-scale screening without requiring expensive MRI scans at inference.