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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Date
2015
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Massey University
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Abstract
The 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.
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Keywords
Automatic speech recognition, Speech synthesis, Mobile computing, Speech disorders, Equipment and supplies