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 5562
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
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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
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