"Smartphones and Smart Speakers: Detecting Drunkenness through Speech Analysis"

Researchers from Stanford University and the University of Toronto have developed an algorithmic method to identify alcohol intoxication with 98% accuracy by analyzing speech patterns. Participants in the study were served vodka gimlets and asked to read tongue-twisters every hour for seven hours. The speech samples were analyzed using an algorithm that examined spectral and frequency-based voice features. While the results are promising, the study is still in the proof-of-concept stage and requires further research and validation. Privacy concerns and public acceptance of such technology also need to be addressed before it can be implemented in real-world scenarios.