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Decision support tool to recognize speech disorder of children in Sri Lanka

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dc.contributor.advisor Premaratne S
dc.contributor.author Jayalath I
dc.date.accessioned 2019
dc.date.available 2019
dc.date.issued 2019
dc.identifier.uri http://dl.lib.mrt.ac.lk/handle/123/15955
dc.description.abstract This research focuses on the development and management of an intelligent system for voice disorders and has addressed the important issues such as diagnosing and treatment procedures of voice disorders. The diagnostic methods are currently limited to manual procedures; and therefore, some form of IT-assisted tool with intelligent decision making would be a valuable addition to the treatment process. Furthermore, the ability of the tool to monitor the progress of the treatment plans would further enhance the value addition. The physical properties of a voice signal can be analyzed using the digital signal processing analysis such as pitch frequencies, formant frequencies, and Mel frequencies. These physical properties are varying with age, cultural background, geographical location, and language. Therefore, these parameters have to be fixed when performing an experiment. In order to fix these parameters, the students’ samples for the research can be selected from a single population. The members of the sample will comprise students whose age is less than 7 and greater than 5 years. In addition to it, pre-determined sample words called phonetic balance can be chosen for the voice recordings. en_US
dc.language.iso en en_US
dc.subject INFORMATION NTECHNOLOGY-Dissertations en_US
dc.subject SIGNAL PROCESSING en_US
dc.subject SPEECH DISORDER en_US
dc.subject AUTOMATIC SPEECH RECOGNITION en_US
dc.subject SPEECH PROCESSING SYSTEMS en_US
dc.title Decision support tool to recognize speech disorder of children in Sri Lanka en_US
dc.type Thesis-Abstract en_US
dc.identifier.faculty IT en_US
dc.identifier.degree MSc in Information Technology en_US
dc.identifier.department Department of Information Technology en_US
dc.date.accept 2019
dc.identifier.accno TH3890 en_US


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