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Design and implementation of text to speech application for vision impaired students
Design and implementation of text to speech application for vision impaired students
Abstract
A Text-to-speech application is a synthesizer software that converts text into spoken word by analyzing and processing text using Natural Language Processing (NLP) and then using Digital Signal Processing (DSP) technology to convert this processed text into synthesized speech representation of the text. Vision-impaired students make a lot of mistakes during typing because they just assume whatever there are typing is right, this led to the development of Text-To-Speech application. Here, we developed a useful text-to-speech synthesizer in the form of a simple application that converts inputted text into synthesized speech and reads out to the user which can then be saved as an mp3 file. Observation and interview were deployed to gather information used in developing this material. The development of a text to speech synthesizer will be of great help to people with visual impairment and make making through a large volume of text easier.
TABLE OF CONTENT
Title page
Certification
Dedication
Acknowledgement
Abstract
Table of content
CHAPTER ONE:
1.0 Introduction
1.2 Statement of the problem
1.3 Objectives of the Study
1.4 Purpose of the Study
1.5 Research Questions
1.6 Significance of the Study
1.7 Scope of the Study
1.8 Limitation of the Study
1.9 Definition of Terms
CHAPTER TWO:
CHAPTER THREE
3.0 Research Methodology
3.1 Introduction
3.2 Area Coverage of the study
3.3 source of data
3.4 Population of the study
3.5 Determination of sample size
3.6 Sample size for Staff
3.7 Method of Data Analysis
3.8 Sample Size for customers
3.9 Data Presentation and Analysis
CHAPTER Four
4.0Summary Of Findings, Recommendation And Conclusion
4.1 Summary and Findings
4.2 Recommendations
4.3 Conclusion
Bibliography
Appendix
