Deep learning applications in telerehabilitation speech therapy scenarios-Reference-Cited by-同舟云学术

Deep learning applications in telerehabilitation speech therapy scenarios

Published:2022-09 Issue: Volume:148 Page:105864
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Mulfari Davide^ORCID,La Placa Donatella,Rovito Chiara,Celesti Antonio,Villari Massimo

Funder

Università Campus Bio-Medico di Roma

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference45 articles.

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4. Recognising emotions in dysarthric speech using typical speech data;Alhinti,2020

5. F. Ballati, F. Corno, L. De Russis, ” Hey Siri, Do You Understand Me?”: Virtual Assistants and Dysarthria., in: Intelligent Environments, Workshops, 2018, pp. 557–566.

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2. Disordered speech recognition considering low resources and abnormal articulation;Speech Communication;2023-11

3. Models and Approaches for Comprehension of Dysarthric Speech Using Natural Language Processing: Systematic Review;JMIR Rehabilitation and Assistive Technologies;2023-10-27

4. The Tele-Rehabilitaion as a Service (TRaaS) Project: Rationale, Study Design, and Methodology;2023 IEEE 19th International Conference on e-Science (e-Science);2023-10-09

5. Identification of Best Classifier Method for Aphasia Classification;2023 IEEE 2nd National Biomedical Engineering Conference (NBEC);2023-09-05