Vocal biomarkers for disease detection
summary
Explains using voice as a medical biomarker by applying artificial intelligence—specifically machine learning—to analyze how diseases change speech. Describes vocal signatures of neurological (Parkinson’s, Alzheimer’s), mental health (depression, bipolar disorder) and respiratory conditions (sleep apnea, bronchitis, pneumonia), reviews recent advances, current system limitations and future challenges.
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chapters (12)
- 0:00Introduction
- 0:28What are vocal biomarkers
- 6:53Voice as health biomarker
- 8:18Voice production mechanism
- 10:04Diseases detectable by voice
- 14:59Voice-based disease detection systems
- 22:50Data processing and feature extraction
- 30:32Case study: detecting depression
- 36:35Technical and ethical challenges
- 51:50Early detection and long-term monitoring
- 57:39Government initiatives and support
- 1:00:24Q&A
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