Speech and Language Technology Applied to Speech Impediment Therapy
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Acoustics and Vibrations".
Deadline for manuscript submissions: closed (20 April 2024) | Viewed by 1879
Special Issue Editor
Interests: new machine learning methods for speech recognition, paralinguistics; interpreting and understanding how deep learning models work; explanability; medical AI
Special Issue Information
Dear Colleagues,
We are inviting submissions to the Special Issue entitled “Speech and Language Technology Applied to Speech Impediment Therapy”.
Speech is an important way of expressing our thoughts and feelings. Unfortunately, various types of speech impediments affecting articulation, fluency and phonology could hinder an individual's communication ability. Diagnosing whether the problem is caused by physical, motor, sensory, neurological or mental health issues is a fundamental task for speech therapists, as is implementing the correct therapy to treat the speech impediment. Deep-Learning-fueled Speech and Language Technology models have the potential to become the new "stethoscope" for speech pathologists, as such systems could enable patients to conduct therapy in the comfort of their home without a medical expert present and still receive expert feedback in real time. New techniques employing Speech and Language Technology to aid the treatment of stuttering, apraxia, dysarthria, lisping, and other speech sound disorders are on the rise and showcase great potential, but they are often hindered by the low amount of available data. Naturally, these new solutions must undergo rigorous testing, including clinical trials, to ensure their advantages outweigh their potential shortcomings.
In this Special Issue, we invite submissions exploring state-of-the-art research, applications and recent advancements in Speech and Language Technology developed for Speech Impediment Therapy. Both experimental studies and comprehensive survey papers are welcome.
Dr. Tamás Grósz
Guest Editor
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. Applied Sciences is an international peer-reviewed open access semimonthly 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 2400 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
- AI-assisted speech therapy
- computer-assisted pronunciation training (CAPT)
- disfluency detection
- fluency assesment
- speech and language technology
- speech assessment
- speech therapy
- speech sound disorder
- stuttering
