Automated Speech Analysis for Psychosis Evaluation

Psychosis is a mental syndrome associated to loss of contact with reality which may arise in patients with different diseases, such as schizophrenia or bipolar disorder. Symptoms include hallucinations, confused and disturbed thoughts or lack of self-awareness. Recent studies have found that psychotic patients can be objectively screened using graph-theoretical algorithms for speech analysis. This analysis often relies in manually executed tasks such as syntagma generation, text splitting or manual feature selection for classification. To solve this fundamental limitation, we use three fully-automated text analysis tools graph generation methods. In addition, since aspects of psychosis may be manifested in semantic aspects of speech, we also developed a semantic features index based on speech coherence. We show that using this combined approach, classifications obtained from automatic techniques are higher than 85 % in a database of 20 schizophrenic patients, with similar results to previous works. In summary, here we develop and validate a new tool for automated speech processing which includes semantic and structural aspects. The tool performs similar to manual screening procedures providing a new method to complement standard psychometric scales and fostering automated psychiatric diagnosis.

[1]  Carlos Diuk,et al.  A quantitative philology of introspection , 2012, Front. Integr. Neurosci..

[2]  Jeffrey Dean,et al.  Distributed Representations of Words and Phrases and their Compositionality , 2013, NIPS.

[3]  Maxine L. Stitzer,et al.  Effects of alcohol on speaking in isolated humans , 2004, Psychopharmacology.

[4]  Erez Lieberman Aiden,et al.  Quantitative Analysis of Culture Using Millions of Digitized Books , 2010, Science.

[5]  J. Angst,et al.  Cost of depression in Europe. , 2006, The journal of mental health policy and economics.

[6]  A. M. Turing,et al.  Computing Machinery and Intelligence , 1950, The Philosophy of Artificial Intelligence.

[7]  T. Landauer,et al.  A Solution to Plato's Problem: The Latent Semantic Analysis Theory of Acquisition, Induction, and Representation of Knowledge. , 1997 .

[8]  Ian H. Witten,et al.  The WEKA data mining software: an update , 2009, SKDD.

[9]  Harriet de Wit,et al.  A Window into the Intoxicated Mind? Speech as an Index of Psychoactive Drug Effects , 2014, Neuropsychopharmacology.

[10]  Diego E. Shalom,et al.  Far transfer to language and math of a short software-based gaming intervention , 2014, Proceedings of the National Academy of Sciences.

[11]  Sidarta Ribeiro,et al.  Graph analysis of dream reports is especially informative about psychosis , 2014, Scientific Reports.

[12]  Teresa Doran,et al.  IEEE 1220: for practical systems engineering , 2006, Computer.

[13]  Richard W. Foltin,et al.  Effects of smoked marijuana on human social behavior in small groups , 1988, Pharmacology Biochemistry and Behavior.

[14]  Dan Klein,et al.  Feature-Rich Part-of-Speech Tagging with a Cyclic Dependency Network , 2003, NAACL.

[15]  Mariano Sigman,et al.  Mate Marote: A flexible automated framework for large-scale educational interventions , 2013, Comput. Educ..

[16]  T. Landauer,et al.  Indexing by Latent Semantic Analysis , 1990 .

[17]  J. Friedman Special Invited Paper-Additive logistic regression: A statistical view of boosting , 2000 .

[18]  O. Kinouchi,et al.  Speech Graphs Provide a Quantitative Measure of Thought Disorder in Psychosis , 2012, PloS one.

[19]  Steven Bird,et al.  NLTK: The Natural Language Toolkit , 2002, ACL.

[20]  Luis von Ahn Games with a Purpose , 2006, Computer.

[21]  T. Goldberg,et al.  Quantifying incoherence in speech: An automated methodology and novel application to schizophrenia , 2007, Schizophrenia Research.

[22]  Kenneth Ward Church,et al.  Word Association Norms, Mutual Information, and Lexicography , 1989, ACL.

[23]  Michael I. Jordan,et al.  Latent Dirichlet Allocation , 2001, J. Mach. Learn. Res..

[24]  Arthur C. Graesser,et al.  Coh-Metrix: Analysis of text on cohesion and language , 2004, Behavior research methods, instruments, & computers : a journal of the Psychonomic Society, Inc.

[25]  Karl J. Friston,et al.  Erratum: Computational psychiatry [Trends in Cognitive Sciences 16 (2012), 72–80] , 2012, Trends in Cognitive Sciences.