Content-free speech activity records: interviews with people with schizophrenia

Author:

Cangemi FrancescoORCID,Grice MartineORCID,Janz AliciaORCID,Lucarini ValeriaORCID,Spaniol MalinORCID,Vogeley KaiORCID

Abstract

AbstractSchizophrenia is characterised by a variety of symptoms, many of which are expressed verbally. However, privacy concerns limit the possibility of collecting and sharing large corpora of schizophrenic speech. As a result, variability in the communicative behaviour of individuals with schizophrenia is currently poorly understood. In this study we explore how far content-free speech activity records can successfully profile the behaviour of patients with schizophrenia. We used data from one of the very few publicly available corpora of conversations with patients with schizophrenia, featuring interviews between a therapist and three patients with different symptoms. Crucially, in this study we annotated only moments of speech and silence during the interview, and we entirely discarded the verbal content of the interview. In this way we perform a type of analysis that fully preserves the speakers’ privacy, while still allowing for comparisons with the full original recorded material. We developed several types of analyses and corresponding visualisations from the activity records. Exemplifying these analyses, clear patient-specific profiles can be derived, based on the dimensions of total silence duration and the speech duration of patients and therapists. These findings are consistent with an independent phenomenological assessment of the three patients.

Funder

Deutsche Forschungsgemeinschaft

Fondation FondaMental

Fondation Bettencourt Schueller

Universität zu Köln

Publisher

Springer Science and Business Media LLC

Subject

Library and Information Sciences,Linguistics and Language,Education,Language and Linguistics

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3