Random

speech analysis

This shows a depressed looking little girl.

·May 6, 2019·5 min read

AI can detect depression in a child’s speech

An auditory-based machine learning algorithm was able to identify children diagnosed with depression and anxiety with 80% accuracy after analyzing recordings of their speech. The algorithm identified eight audio features that signify a higher risk of depression. Of these, a lower pitch of voice, repeatable speech inflections and a higher pitch response to surprise stimuli, were more indicative of depression. Researchers hope to develop a smartphone app that records and analyzes speech immediately, helping to better detect children at risk of internalizing disorders.

Featured Open Neuroscience Articles Psychology

·August 26, 2015·4 min read

Automated Speech Analysis Program Can Identify People at Risk for Psychosis

Computerized speech analysis provides a more accurate classification than clinical ratings for teens at risk of developing psychosis, a new study reports.

Featured Neuroscience Psychology

·January 7, 2023·4 min read

Speech Analysis Can Help Measure Diagnosis, Severity, and Onset of Mental Illness

Speech pattern analysis can help accurately diagnose depression and psychosis, measure the severity of symptoms, and predict the onset of mental health conditions.

Featured Open Neuroscience Articles Psychology

·January 24, 2018·4 min read

Speech Analysis Software Predicts Psychosis in Those At Risk With 83% Accuracy

Researchers report computer based analysis of speech transcripts from teens at risk of psychosis were able to predict, with 83% accuracy, who would develop symptoms within 2 years.