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Combining Automatic speech recognition models to reduce error propagation in law-resource transfer-learning speech-command recognition

By: Isham, Jazeem MohamedContributor(s): Dr. U. Thayasivam [supervisor]Language: English Publisher: [2022]Description: viii, 27p. : ill., table, CD-ROMSubject(s): SPEECH-COMMAND RECOGNITION | FEATURE CONCATENATION | LOW-RESOURCE TRANSFER LEARNING | SPEECH RECOGNITION | INFORMATION TECHNOLOGY -Dissertation | COMPUTER SCIENCE -Dissertation | COMPUTER SCIENCE & ENGINEERING -Dissertation | MSc in Computer ScienceOnline resources: Click here to access online Dissertation note: Department of Computer Science & Engineering Faculty of Engineering University of Moratuwa 2022
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Thesis Thesis Library, University of Moratuwa
The University of Moratuwa Library (UML) is one of the most prominent technology libraries in the country. Its main subject specializations are Engineering, Architecture and Information Technology. However, the library caters to the requirements of the membership by housing books and other materials of general interest as well.
Thesis Collection
004(043) (Browse shelf) DCS 05/200 LB/TH/38/2022 Not For Loan TH4941

M.Sc. in Computer Science & Engineering

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Department of Computer Science & Engineering Faculty of Engineering University of Moratuwa 2022

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