Special Issue "Artificial Intelligence Methods for Assessing Speech, Language, and Communication Functioning"

A special issue of Brain Sciences (ISSN 2076-3425). This special issue belongs to the section "Neurolinguistics".

Deadline for manuscript submissions: 17 November 2023 | Viewed by 317

Special Issue Editors

ISP, University of Oslo, 0371 Oslo, Norway
Interests: machine learning; natural language processing; signal processing; speech and language impairment diagnosis and treatment
Department of Neurology, The Johns Hopkins University, Baltimore, MD 21210, USA
Interests: dementia; primary aphasias; primary progressive aphasias; speech and language dis-orders after stroke; transcranial direct current stimulation
Department of Neurology, The Johns Hopkins University, Baltimore, MD 21210, USA
Interests: cognitive neuroscience; speech and language diagnosis and treatment; neuroimaging; written language production

Special Issue Information

Dear Colleagues,

Computational methods for language assessment have become increasingly important in recent years as they offer new possibilities for measuring and enhancing speech, language, and communication skills in various clinical populations. Among these methods, artificial intelligence (AI), machine learning, natural language processing, and signal processing can provide objective and reliable indicators of speech and language functioning, which can inform the diagnosis, prognosis, and treatment evaluation of patients with neurocognitive disorders, such as aphasia and speech impairments caused by stroke, dementia, or traumatic brain injury.

This Special Issue aims to showcase the latest developments and applications of computational language assessment in this domain. We invite submissions of original research articles, reviews, or protocol papers that present novel algorithms and models for assessing and scoring speech and language performance in patients with neurocognitive conditions. We also welcome studies that demonstrate the validity, reliability, and security of these methods, as well as their implications for clinical practice and education. This Special Issue will contribute to the advancement of computational neurocognitive and neurolinguistic assessment research and its impact on society.

Dr. Charalambos Themistocleous
Dr. Kyrana Tsapkini
Dr. Kyriaki Neophytou
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Brain Sciences is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.


  • machine learning
  • natural language processing
  • signal processing
  • aphasia
  • speech and language disorders
  • computational language assessment (CLA)

Published Papers

This special issue is now open for submission.
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