Impaired speech recognition : a thesis presented in partial fulfilment of the requirements for the degree of Master of Information Sciences in Computer Science at Massey University, Albany, New Zealand.

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dc.contributor.authorAlmujil, Mohammed Nasser
dc.date.accessioned2016-06-29T03:29:07Z
dc.date.available2016-06-29T03:29:07Z
dc.date.issued2015
dc.description.abstractThe purpose of this thesis is to present a novel mobile health application that can recognize impaired speech (using audio signals) and turn it into understandable speech. The system is developed to help Dysarthria of Speech patients communicate better with others in their everyday life. It will provide some background information about motor speech disorders, Dysarthria of Speech and the technical aspects of this application. It will then explain and test the algorithms to recognize impaired speech using audio fingerprinting technology. Finally it will discuss the test results and recommends some future work to improve the current algorithms.en_US
dc.identifier.urihttp://hdl.handle.net/10179/8316
dc.language.isoenen_US
dc.publisherMassey Universityen_US
dc.rightsThe Authoren_US
dc.subjectAutomatic speech recognitionen_US
dc.subjectSpeech synthesisen_US
dc.subjectMobile computingen_US
dc.subjectSpeech disordersen_US
dc.subjectEquipment and suppliesen_US
dc.titleImpaired speech recognition : a thesis presented in partial fulfilment of the requirements for the degree of Master of Information Sciences in Computer Science at Massey University, Albany, New Zealand.en_US
dc.typeThesisen_US
massey.contributor.authorAlmujil, Mohammed Nasseren_US
thesis.degree.disciplineComputer Scienceen_US
thesis.degree.grantorMassey Universityen_US
thesis.degree.levelMastersen_US
thesis.degree.nameMaster of Information Sciences (M.Inf.Sc.)en_US
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