Characterising spoken responses to an intelligent virtual agent by persons with mild cognitive impairment

Gareth Walkera School of English, University of Sheffield, Sheffield, UKCorrespondence[email protected]

https://orcid.org/0000-0001-5022-4756

Lee-Anne Morrisb Sheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, Sheffield, UK

Heidi Christensenc Department of Computer Science, University of Sheffield, Sheffield, UK

Bahman Mirheidaric Department of Computer Science, University of Sheffield, Sheffield, UK

https://orcid.org/0000-0002-7797-2778

Markus Reuberd Academic Neurology Unit, Royal Hallamshire Hospital, University of Sheffield, Sheffield, UK

https://orcid.org/0000-0002-4104-6705

Daniel J. Blackburnb Sheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, Sheffield, UK

https://orcid.org/0000-0001-8886-1283

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Gareth Walker, Nathan Pevy, Ronan O’Malley, Bahman Mirheidari, Markus Reuber, Heidi Christensen & Daniel J Blackburn. (2023) Speech patterns in responses to questions asked by an intelligent virtual agent can help to distinguish between people with early stage neurodegenerative disorders and healthy controls. Clinical Linguistics & Phonetics 0:0, pages 1-22.
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Articles from other publishers (2)

Roel Boumans, Yana van de Sande, Serge Thill & Tibor Bosse. (2022) Voice-Enabled Intelligent Virtual Agents for People With Amnesia: Systematic Review. JMIR Aging 5:2, pages e32473.
Crossref

Kathleen C. Fraser & Majid Komeili. (2021) Measuring Cognitive Status from Speech in a Smart Home Environment. IEEE Instrumentation & Measurement Magazine 24:6, pages 13-21.
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Characterising spoken responses to an intelligent virtual agent by persons with mild cognitive impairment

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Characterising spoken responses to an intelligent virtual agent by persons with mild cognitive impairment

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