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dc.contributor.authorOmyonga, Kevin
dc.contributor.authorShibwabo, Bernard Kasamani
dc.date.accessioned2015-08-11T12:15:10Z
dc.date.available2015-08-11T12:15:10Z
dc.date.issued2015-07
dc.identifier.issn2349 - 476X
dc.identifier.urihttp://hdl.handle.net/11071/4039
dc.descriptionJournal articleen_US
dc.description.abstractThe consistent increase in the number and ownership population of mobile device s introduces a variety of limitations. A set of this limitations revolve around interactivity. The overly dependent haptic mechanism of interaction has caused device falls, slower time to interaction, health concerns , and limited support for the disabled among other problems. There is need to formulate innovative techniques that facilitate our interaction with these devices fo r users. In order to achieve this, a Real - time Voice Recognition A lgorithm is formulated that lets users of mobile devices acquire freedom to move about and reduce the need for constantly glanc ing at their screen . This is achieved by allowing users to verb ally command their devices to carry out ordinary tasks such as setting an alarm, making a call, or even starting any application. An added unique feature is that i t also offers offline acc ess as any commands given by a user are processed and executed local ly on the device.en_US
dc.language.isoenen_US
dc.publisherInternational Journal of Research Studies in Science, Engineering and Technologyen_US
dc.subjectVoice Recognitionen_US
dc.subjectMobile Digital Assistanten_US
dc.subjectAudio Pattern Matchingen_US
dc.subjectAudio Controlen_US
dc.subjectMobilityen_US
dc.titleThe application of real - time voice recognition to control critical mobile device operationsen_US
dc.typeArticleen_US


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