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dc.contributor.advisorKepuska, Veton
dc.contributor.authorAbdalhameed, Noor Kamil
dc.date.accessioned2020-11-06T18:05:42Z
dc.date.available2020-11-06T18:05:42Z
dc.date.created2019-12
dc.date.issued2019-12
dc.date.submittedDecember 2019
dc.identifier.urihttp://hdl.handle.net/11141/3202
dc.descriptionThesis (M.S.) - Florida Institute of Technology, 2019.en_US
dc.description.abstractThe Home Automation System is one of the most important technologies that are used by humans for controlling electrical devices to reduce manual efforts in their daily tasks. The home automation system by voice has the ability to understand thousands of voice commands and perform the required action to control various electrical devices. The voice recognition is a bit complex and challenging task since each person has his accent. Therefore, Bitvoicer Server used in the home automation system in this thesis since it supports 17 languages from 26 countries and regions, and has the ability to recognize an unlimited number of voice commands. Voice control for a home automation system is proposed in this thesis. The system takes the human voice commands by it is own inbuilt microphone that converts the sound wave to an electrical wave. This system not only takes the voice commands and executes them to control electrical devices but also gives a response acknowledgment through speech output. This system can perform the different commands to control devices such as turn-on, turn-off, prime time, and go away; at the same time, it can develop a conversation with the user. The voice commands are processed in real-time, using an offline Bitvoicer server and a microcontroller (Arduino) through USB serial communication. Performance evaluation is carried out with encouraging results of the voice commands through the Speech Recognition Engine and controlling various electrical devices.en_US
dc.format.mimetypeapplication/pdf
dc.language.isoen_USen_US
dc.rightsCopyright held by author.en_US
dc.titleHome Automation System by Voice Commandsen_US
dc.typeThesisen_US
dc.date.updated2019-12-06T16:42:10Z
thesis.degree.nameMaster of Science in Computer Engineeringen_US
thesis.degree.levelMastersen_US
thesis.degree.disciplineComputer Engineeringen_US
thesis.degree.departmentComputer Engineering and Sciencesen_US
thesis.degree.grantorFlorida Institute of Technologyen_US
dc.type.materialtext


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