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dc.contributor.advisorKëpuska, Veton Z.
dc.contributor.authorDevi, Anita
dc.date.accessioned2016-05-17T14:29:28Z
dc.date.available2016-05-17T14:29:28Z
dc.date.issued2016-04
dc.identifier.urihttp://hdl.handle.net/11141/874
dc.descriptionThesis (M.S.) - Florida Institute of Technology, 2016en_US
dc.description.abstractThis thesis will describe the theoretical background and implementation details of Google Speech Recognition using embedded system. AM37x Evaluation Board developed by Texas Instrument is used as a test bed. All major applications of Google Speech Recognition are covered in this thesis. Also, Evaluation of Google Speech API based on standard dataset is also part of the thesis. Each implementation details are included with the theoretical background and pre-requisite details: • Overview of the background of Automatic Speech Recognition Technology. • Overview of Google Speech Recognition. • Overview of AM37x Evaluation Module. • Drivers and Android OS upgradation details. • Installation of Google pre-requisite Apps on AM37x. • Implementation details of experiment i.e. Speech to Text, Text to Speech and Audio File to Speech. • Evaluation of Google Speech API using TIMITen_US
dc.language.isoen_USen_US
dc.rightsCC BY Creative Commons with Attributionen_US
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/en_US
dc.titleGoogle Speech Recognition using Embedded Systemen_US
dc.typeThesisen_US
thesis.degree.nameMaster of Science in Computer Engineeringen_US
thesis.degree.levelMastersen_US
thesis.degree.disciplineComputer Engineeringen_US
thesis.degree.departmentElectrical and Computer Engineeringen_US
thesis.degree.grantorFlorida Institute of Technologyen_US


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