Utilizing Voice Analysis for Health Conditions Detection

This chapter explores the use of smartphones in detecting health conditions through speech patterns, particularly focusing on diseases affecting speech, voice, and those not traditionally linked to speech. It discusses the potential of AI in detecting subtle differences in data and introduces the concept of the Bridge to AI voice database. The chapter also delves into the various biomarkers used to track health, including respiratory, voice, speech, and linguistic biomarkers, emphasizing the importance of understanding individual nuances for conditions like depression and Parkinson's.