Hidden Markov model (HMM) using English voice modality in text editor / Mohamad Hallmi Mohamad Radzhi

The current Text Editor (Word Processor) gives problem to those handicap people with physical disorder to use it. They face difficulties on typing word and navigating men uicon by traditionally using mouse device. Some cases, this handicap people have physica llimitation and others have difficulty w...

Full description

Saved in:

Bibliographic Details
Main Author:	Mohamad Radzhi, Mohamad Hallmi
Format:	Thesis
Language:	English
Published:	2006
Subjects:	Computer software Applications of electronics
Online Access:	https://ir.uitm.edu.my/id/eprint/64389/1/64389.PDF
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-uitm-ir.64389
record_format	uketd_dc
spelling	my-uitm-ir.643892023-05-29T02:33:29Z Hidden Markov model (HMM) using English voice modality in text editor / Mohamad Hallmi Mohamad Radzhi 2006 Mohamad Radzhi, Mohamad Hallmi Computer software Applications of electronics The current Text Editor (Word Processor) gives problem to those handicap people with physical disorder to use it. They face difficulties on typing word and navigating men uicon by traditionally using mouse device. Some cases, this handicap people have physica llimitation and others have difficulty with the mechanics of writing. Therefore the objective of this thesis is to develop handicap text editor by following concept of Hidden Markov Model (HMM) using English Voice Modality (speech recognition) of a quest for help handicap people using the Text Editor (word processor). The project covers on developing voice-assisted text editor. To see the view more clear, simple prototy pedeveloped to enhance Text Editor (Word Processor) system controlled by using Voice Modality by using middleware application name Dragon NaturallySpeaking. This prototype application is tested using Microsoft Visual Basic 2008 Express Edition. The component or the modules are developed to demonstrate Text Editor receive input by Voice Modality technique. Handicap people can do typing and navigate menu icon by their voice through microphone. 2006 Thesis https://ir.uitm.edu.my/id/eprint/64389/ https://ir.uitm.edu.my/id/eprint/64389/1/64389.PDF text en public degree Universiti Teknologi MARA (UiTM) Faculty of Computer and Mathematical Sciences Mohd Saman, Fauzi
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Mohd Saman, Fauzi
topic	Computer software Applications of electronics
spellingShingle	Computer software Applications of electronics Mohamad Radzhi, Mohamad Hallmi Hidden Markov model (HMM) using English voice modality in text editor / Mohamad Hallmi Mohamad Radzhi
description	The current Text Editor (Word Processor) gives problem to those handicap people with physical disorder to use it. They face difficulties on typing word and navigating men uicon by traditionally using mouse device. Some cases, this handicap people have physica llimitation and others have difficulty with the mechanics of writing. Therefore the objective of this thesis is to develop handicap text editor by following concept of Hidden Markov Model (HMM) using English Voice Modality (speech recognition) of a quest for help handicap people using the Text Editor (word processor). The project covers on developing voice-assisted text editor. To see the view more clear, simple prototy pedeveloped to enhance Text Editor (Word Processor) system controlled by using Voice Modality by using middleware application name Dragon NaturallySpeaking. This prototype application is tested using Microsoft Visual Basic 2008 Express Edition. The component or the modules are developed to demonstrate Text Editor receive input by Voice Modality technique. Handicap people can do typing and navigate menu icon by their voice through microphone.
format	Thesis
qualification_level	Bachelor degree
author	Mohamad Radzhi, Mohamad Hallmi
author_facet	Mohamad Radzhi, Mohamad Hallmi
author_sort	Mohamad Radzhi, Mohamad Hallmi
title	Hidden Markov model (HMM) using English voice modality in text editor / Mohamad Hallmi Mohamad Radzhi
title_short	Hidden Markov model (HMM) using English voice modality in text editor / Mohamad Hallmi Mohamad Radzhi
title_full	Hidden Markov model (HMM) using English voice modality in text editor / Mohamad Hallmi Mohamad Radzhi
title_fullStr	Hidden Markov model (HMM) using English voice modality in text editor / Mohamad Hallmi Mohamad Radzhi
title_full_unstemmed	Hidden Markov model (HMM) using English voice modality in text editor / Mohamad Hallmi Mohamad Radzhi
title_sort	hidden markov model (hmm) using english voice modality in text editor / mohamad hallmi mohamad radzhi
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2006
url	https://ir.uitm.edu.my/id/eprint/64389/1/64389.PDF
_version_	1783735453833232384

Hidden Markov model (HMM) using English voice modality in text editor / Mohamad Hallmi Mohamad Radzhi

Similar Items