Investigating temporal and prosodic markers in clinical high‐risk for psychosis participants using automated acoustic analysis-Reference-Cited by-同舟云学术

Investigating temporal and prosodic markers in clinical high‐risk for psychosis participants using automated acoustic analysis

Published:2022-10-07 Issue:3 Volume:17 Page:327-330
ISSN:1751-7885
Container-title:Early Intervention in Psychiatry
language:en
Short-container-title:Early Intervention Psych

Author:

Bianciardi Bianca¹^ORCID,Gajwani Ruchika²^ORCID,Gross Joachim³,Gumley Andrew I.²,Lawrie Stephen M.⁴,Moelling Melina¹,Schwannauer Matthias⁵,Schultze‐Lutter Frauke⁶⁷⁸^ORCID,Fracasso Alessio¹,Uhlhaas Peter J.¹⁹^ORCID

Affiliation:

1. Institute of Neuroscience and Psychology University of Glasgow Glasgow UK

2. School of Health and Wellbeing University of Glasgow Glasgow UK

3. Institute for Biomagnetism and Biosignalanalysis University of Muenster Muenster Germany

4. Department of Psychiatry Univ. of Edinburgh Edinburgh UK

5. Department of Clinical Psychology Univ. of Edinburgh Edinburgh UK

6. Department of Psychiatry and Psychotherapy, Medical Faculty Heinrich Heine University Düsseldorf Germany

7. Department of Psychology, Faculty of Psychology Airlangga University Surabaya Indonesia

8. University Hospital of Child and Adolescent Psychiatry and Psychotherapy University of Bern Bern Switzerland

9. Department of Child and Adolescent Psychiatry Charité Universitätsmedizin Berlin Germany

Funder

Medical Research Council

Health Research

Publisher

Wiley

Subject

Biological Psychiatry,Psychiatry and Mental health,Pshychiatric Mental Health

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/eip.13357

Reference29 articles.

1. Agurto C. Pietrowicz M. Norel R. Eyigoz E. K. Stanislawski E. Cecchi G. &Corcoran C.(2020).Analyzing acoustic and prosodic fluctuations in free speech to predict psychosis onset in high‐risk youths.Proceedings of the annual international conference of the IEEE engineering in medicine and biology society EMBS 2020‐July.https://doi.org/10.1109/EMBC44109.2020.9176841

2. Alghowinem S. Goecke R. Wagner M. Epps J. Breakspear M. &Parker G.(2013).Detecting depression: A comparison between spontaneous and read speech.2013 IEEE International Conference on Acoustics Speech and Signal Processing 7547–7551.

3. Thought, Language, and Communication in Schizophrenia: Diagnosis and Prognosis

4. Audacity®. (2021).Audacity®: Free audio editor and recorder [computer application]. Version 3.0. 0.

5. Voice acoustical measurement of the severity of major depression

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