Basic Mechanisms of Speech Production, Speech Perception and Perception-Production Link
A special issue of Brain Sciences (ISSN 2076-3425). This special issue belongs to the section "Neurolinguistics".
Deadline for manuscript submissions: 31 July 2026 | Viewed by 44
Special Issue Editors
Interests: speech production; speech perception; speech prosody
Special Issue Information
Dear Colleagues,
Speech production and perception are two critical aspects of human language that are intimately related. Both have been studied extensively over the decades, either independently or in terms of their mutual relations. Yet there remains a long-standing uncertainty about how their links are related to their respective mechanisms, and how variability and speaker normalization problems can be resolved. This Special Issue welcomes cutting-edge research that advances understanding of the basic mechanisms of speech production and perception and their interactions through behavioural, neural, and computational simulation research. We especially encourage contributions that address the basic mechanisms of articulatory dynamics, speech acquisition, perceptual learning, and sensorimotor learning that may lead to solutions to the variability and speaker normalization problem. Modelling and simulation work that captures speech dynamics or integrates production and perception within unified frameworks is also welcome. Additional topics include neural substrates of speech and theoretical accounts of how production and perception jointly enable speech communication.
Prof. Dr. Yi Xu
Guest Editor
Dr. Anqi Xu
Guest Editor Assistant
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 250 words) can be sent to the Editorial Office for assessment.
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 2200 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.
Keywords
- speech production
- speech perception
- production-perception link
- articulatory dynamics
- sensorimotor learning
- speech acquisition
- vocal learning
- perceptual learning
- computational modelling
- modelling simulation
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
