Publication:
SPEESH: Speech-based mobile application for dysarthric speech recognition

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dc.contributor.authorMohamad Nasir A.B.en_US
dc.contributor.authorNasir N.R.M.en_US
dc.contributor.authorSalleh F.H.M.en_US
dc.contributor.authorid57222723353en_US
dc.contributor.authorid57076901800en_US
dc.contributor.authorid26423229000en_US
dc.date.accessioned2023-05-29T09:08:24Z
dc.date.available2023-05-29T09:08:24Z
dc.date.issued2021
dc.descriptionCharacter recognition; Speech; User experience; Automatic speech recognition; Communication platforms; Mobile applications; Speaker model; Speech disabilities; Speech disorders; Speech recognition systems; Text independents; Speech recognitionen_US
dc.description.abstractThere 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.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo12003
dc.identifier.doi10.1088/1742-6596/1860/1/012003
dc.identifier.issue1
dc.identifier.scopus2-s2.0-85103842612
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85103842612&doi=10.1088%2f1742-6596%2f1860%2f1%2f012003&partnerID=40&md5=b020dead92e860d00ed7e8d0a76175a2
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/26262
dc.identifier.volume1860
dc.publisherIOP Publishing Ltden_US
dc.relation.ispartofAll Open Access, Bronze
dc.sourceScopus
dc.sourcetitleJournal of Physics: Conference Series
dc.titleSPEESH: Speech-based mobile application for dysarthric speech recognitionen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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