SPEESH: Speech-based mobile application for dysarthric speech recognition
Character recognition; Speech; User experience; Automatic speech recognition; Communication platforms; Mobile applications; Speaker model; Speech disabilities; Speech disorders; Speech recognition systems; Text independents; Speech recognition
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2023
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my.uniten.dspace-262622023-05-29T17:08:24Z SPEESH: Speech-based mobile application for dysarthric speech recognition Mohamad Nasir A.B. Nasir N.R.M. Salleh F.H.M. 57222723353 57076901800 26423229000 Character recognition; Speech; User experience; Automatic speech recognition; Communication platforms; Mobile applications; Speaker model; Speech disabilities; Speech disorders; Speech recognition systems; Text independents; Speech recognition There are numerous automatic speech recognition applications available in market, but these applications are quite challenging to be used for individual with speech disability. Due to this demand, SPEESH, a speech recognition system is developed for individuals with dysarthria disorders. The main objective of this project is to study the requirement of proposed system and characteristics of individuals with dysarthria. Interview with speech therapists in Malaysia has been conducted on the phone to elicit the requirements for the system. Based on the interview, we acquired numerous common words that are used by dysarthric patients. These findings are crucial in designing the application to ease the user's experience. The system consists of two phases on how it works; text dependent and text independent. First, in a text dependent phase, the system will learn to recognize specific words from the speaker and register them into database. In the next phase, speaker model will now consist characteristics of voice of the person and it can identify what one is saying. SPEESH application have been designed to be able to translate words from individuals with dysarthria or any speech disorders. All the functionalities and features are all developed in a way such that SPEESH will work as a communication platform between dysarthria individuals and their surroundings. � Published under licence by IOP Publishing Ltd. Final 2023-05-29T09:08:24Z 2023-05-29T09:08:24Z 2021 Conference Paper 10.1088/1742-6596/1860/1/012003 2-s2.0-85103842612 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85103842612&doi=10.1088%2f1742-6596%2f1860%2f1%2f012003&partnerID=40&md5=b020dead92e860d00ed7e8d0a76175a2 https://irepository.uniten.edu.my/handle/123456789/26262 1860 1 12003 All Open Access, Bronze IOP Publishing Ltd Scopus |
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description |
Character recognition; Speech; User experience; Automatic speech recognition; Communication platforms; Mobile applications; Speaker model; Speech disabilities; Speech disorders; Speech recognition systems; Text independents; Speech recognition |
author2 |
57222723353 |
author_facet |
57222723353 Mohamad Nasir A.B. Nasir N.R.M. Salleh F.H.M. |
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Conference Paper |
author |
Mohamad Nasir A.B. Nasir N.R.M. Salleh F.H.M. |
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Mohamad Nasir A.B. Nasir N.R.M. Salleh F.H.M. SPEESH: Speech-based mobile application for dysarthric speech recognition |
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Mohamad Nasir A.B. |
title |
SPEESH: Speech-based mobile application for dysarthric speech recognition |
title_short |
SPEESH: Speech-based mobile application for dysarthric speech recognition |
title_full |
SPEESH: Speech-based mobile application for dysarthric speech recognition |
title_fullStr |
SPEESH: Speech-based mobile application for dysarthric speech recognition |
title_full_unstemmed |
SPEESH: Speech-based mobile application for dysarthric speech recognition |
title_sort |
speesh: speech-based mobile application for dysarthric speech recognition |
publisher |
IOP Publishing Ltd |
publishDate |
2023 |
_version_ |
1806427657130213376 |