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 psychot...

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Autores principales: Carrillo, F., Mota, N., Copelli, M., Ribeiro, S., Sigman, M., Cecchi, G., Slezak, D.F., Chang K.-M.K., Murphy B., Wehbe L., Cecchi G., Rish I., Langs G.
Formato: SER
Materias:
Artificial intelligence
Automation
Classification (of information)
Feature extraction
Graph theory
Learning systems
Neuroimaging
Semantics
Speech analysis
Speech processing
Text processing
Automatic technique
Fundamental limitations
Graph generation
Schizophrenic patients
Screening procedures
Semantic features
Structural aspects
Theoretical algorithms
Diagnosis
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_03029743_v9444LNAI_n_p31_Carrillo
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires
id todo:paper_03029743_v9444LNAI_n_p31_Carrillo
record_format dspace
spelling todo:paper_03029743_v9444LNAI_n_p31_Carrillo2023-10-03T15:19:40Z Automated speech analysis for psychosis evaluation Carrillo, F. Mota, N. Copelli, M. Ribeiro, S. Sigman, M. Cecchi, G. Slezak, D.F. Chang K.-M.K. Murphy B. Wehbe L. Cecchi G. Rish I. Langs G. Artificial intelligence Automation Classification (of information) Feature extraction Graph theory Learning systems Neuroimaging Semantics Speech analysis Speech processing Text processing Automatic technique Fundamental limitations Graph generation Schizophrenic patients Screening procedures Semantic features Structural aspects Theoretical algorithms Diagnosis 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. © Springer International Publishing AG 2016. Fil:Sigman, M. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. SER info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_03029743_v9444LNAI_n_p31_Carrillo
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Artificial intelligence
Automation
Classification (of information)
Feature extraction
Graph theory
Learning systems
Neuroimaging
Semantics
Speech analysis
Speech processing
Text processing
Automatic technique
Fundamental limitations
Graph generation
Schizophrenic patients
Screening procedures
Semantic features
Structural aspects
Theoretical algorithms
Diagnosis
spellingShingle Artificial intelligence
Automation
Classification (of information)
Feature extraction
Graph theory
Learning systems
Neuroimaging
Semantics
Speech analysis
Speech processing
Text processing
Automatic technique
Fundamental limitations
Graph generation
Schizophrenic patients
Screening procedures
Semantic features
Structural aspects
Theoretical algorithms
Diagnosis
Carrillo, F.
Mota, N.
Copelli, M.
Ribeiro, S.
Sigman, M.
Cecchi, G.
Slezak, D.F.
Chang K.-M.K.
Murphy B.
Wehbe L.
Cecchi G.
Rish I.
Langs G.
Automated speech analysis for psychosis evaluation
topic_facet Artificial intelligence
Automation
Classification (of information)
Feature extraction
Graph theory
Learning systems
Neuroimaging
Semantics
Speech analysis
Speech processing
Text processing
Automatic technique
Fundamental limitations
Graph generation
Schizophrenic patients
Screening procedures
Semantic features
Structural aspects
Theoretical algorithms
Diagnosis
description 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. © Springer International Publishing AG 2016.
format SER
author Carrillo, F.
Mota, N.
Copelli, M.
Ribeiro, S.
Sigman, M.
Cecchi, G.
Slezak, D.F.
Chang K.-M.K.
Murphy B.
Wehbe L.
Cecchi G.
Rish I.
Langs G.
author_facet Carrillo, F.
Mota, N.
Copelli, M.
Ribeiro, S.
Sigman, M.
Cecchi, G.
Slezak, D.F.
Chang K.-M.K.
Murphy B.
Wehbe L.
Cecchi G.
Rish I.
Langs G.
author_sort Carrillo, F.
title Automated speech analysis for psychosis evaluation
title_short Automated speech analysis for psychosis evaluation
title_full Automated speech analysis for psychosis evaluation
title_fullStr Automated speech analysis for psychosis evaluation
title_full_unstemmed Automated speech analysis for psychosis evaluation
title_sort automated speech analysis for psychosis evaluation
url http://hdl.handle.net/20.500.12110/paper_03029743_v9444LNAI_n_p31_Carrillo
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