Computerized Speech Analysis – An Objective Marker for Psychiatry?
Sir William Osler may have been predicting the future when he said: “Listen to your patient, he is telling you the diagnosis.” Analyzing what our patients say, and how they say it, may become the next game-changer in mental health diagnosis and treatment.
Elvevåg, B., Cohen, A. S., Wolters, M. K., Whalley, H. C., Gountouna, V. E., Kuznetsova, K. A., … & Nicodemus, K. K. (2016). An examination of the language construct in NIMH’s research domain criteria: Time for reconceptualization!. American Journal of Medical Genetics Part B: Neuropsychiatric Genetics.
Tech Target, Top Five Benefits of Speech Analytics for the Call Center. Retrieved 9/7/2016. Webpage: http://searchcrm.techtarget.com/report/Top-five-benefits-of-speech-analytics-for-the-call-center
Poushter, J. (2016). Smartphone Ownership and Internet Usage Continues to Climb in Emerging Economies. Pew Research Center: Global Attitudes & Trends.
Bedi, Gillinder, et al. “Automated analysis of free speech predicts psychosis onset in high-risk youths.” npj Schizophrenia 1 (2015): 15030. This study is summarised in this article.
Faurholt-Jepsen, M., et al. “Voice analysis as an objective state marker in bipolar disorder.” Translational Psychiatry 6.7 (2016): e856.
Althoff, T., Clark, K., & Leskovec, J. (2016). Large-scale Analysis of Counseling Conversations: An Application of Natural Language Processing to Mental Health. Transactions of the Association for Computational Linguistics,4, 463-476.