DESIGN AND IMPLEMENTATION OF VOICE RECOGNITION SYSTEM
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TITLE PAGE
BY
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--/H2013/01430
DEPARTMENT OF ----
SCHOOL OF ---
INSTITUTE OF ---
DECEMBER,2018
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This is to certify that the research work, "design and implementation of voice recognition system" by ---, Reg. No. --/H2007/01430 submitted in partial fulfillment of the requirement award of a Higher National Diploma on --- has been approved.
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DEDICATION
This project is dedicated to Almighty God for his protection, kindness, strength over my life throughout the period and also to my --- for his financial support and moral care towards me.Also to my mentor --- for her academic advice she often gives to me. May Almighty God shield them from the peril of this world and bless their entire endeavour Amen.
ACKNOWLEDGEMENT
The successful completion of this project work could not have been a reality without the encouragement of my --- and other people. My immensely appreciation goes to my humble and able supervisor mr. --- for his kindness in supervising this project.
My warmest gratitude goes to my parents for their moral, spiritual and financial support throughout my study in this institution.
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This study is on design and implementation a voice recognition system that would identify different users based on previously stored voice samples. Each user inputs audio samples with a keyword of his or her choice. This input was gathered but successful processing to extract meaningful spectral coefficients was not achieved. These coefficients were to be stored in a database for later comparison with future audio inputs. Afterwards, the system had to capture an
input from any user and match its spectral coefficients to all previously stored coefficients on the database, in order to identify the unknown speaker. Since the spectral coefficients were acquired adequately the system as a whole did not recognize anything, although we believe that modifying the system’s structure to decrease timing dependencies between the subsystems might make the
implementation more feasible and less complex.
TABLE OF CONTENTS
COVER PAGE
TITLE PAGE
APPROVAL PAGE
DEDICATION
ACKNOWELDGEMENT
ABSTRACT
CHAPTER ONE
INTRODUCTION
- BACKGROUND OF THE PROJECT
- PROBLEM STATEMENT
- OBJECTIVES OF THE PROJECT
- SCOPE OF THE PROJECT
- SIGNIFICANCE OF THE PROJECT
- APPLICATION OF THE PROJECT
- COMPONENTS OF THE PROJECT
- PROJECT ORGANISATION
CHAPTER TWO
LITERATURE REVIEW
- HISTORICAL BACKGROUND OF THE STUDY
- MODELS, METHODS, AND ALGORITHMS
- PERFORMANCE OF THE SYSTEM
- ACCURACY OF THE SYSTEM
CHAPTER THREE
SYSTEM DESIGN
- DESIGN OVERVIEW
- BLOCK DIAGRAM
- MODULE DESCRIPTION AND IMPLEMENTATION
- DISTANCE PROCESSOR SUBSYSTEM (J)
- SYSTEM OPERATION (R)
CHAPTER FOUR
4.1 TESTING AND DEBUGGING
CHAPTER FIVE
- CONCLUSION
- RECOMMENDATION
- REFERENCES
CHAPTER ONE
1.0 INTRODUCTION
1.1 BACKGROUND OF THE STUDY
Speech recognition (SR) is the inter-disciplinary sub-field of computational linguistics that develops methodologies and technologies that enables the recognition and translation of spoken language into text by computers. It is also known as "automatic speech recognition" (ASR), "computer speech recognition", or just "speech to text" (STT). It incorporates knowledge and research in the linguistics, computer science, and electrical engineering fields.
Some SR systems use "training" (also called "enrollment") where an individual speaker reads text or isolated vocabulary into the system. The system analyzes the person's specific voice and uses it to fine-tune the recognition of that person's speech, resulting in increased accuracy. Systems that do not use training are called "speaker independent" systems. Systems that use training are called "speaker dependent" (Kavaler et al., 2017).
Speech recognition applications include voice user interfaces such as voice dialing, call routing, domotic appliance control, search, simple data entry, preparation of structured documents, speech-to-text processing, and aircraft.
The term voice recognition refers to identifying the speaker, rather than what they are saying. Recognizing the speaker can simplify the task of translating speech in systems that have been trained on a specific person's voice or it can be used to authenticate or verify the identity of a speaker as part of a security process (Reynolds et al., 2015).
From the technology perspective, speech recognition has a long history with several waves of major innovations. Most recently, the field has benefited from advances in deep learning and big data. The advances are evidenced not only by the surge of academic papers published in the field, but more importantly by the worldwide industry adoption of a variety of deep learning methods in designing and deploying speech recognition systems (Juang et al., 2015).
This study is aimed at building a voice recognition system using a computer software program or hardware device with the ability to decode the human voice. Voice recognition is commonly used to operate a device, perform commands, or write without having to use a keyboard, mouse, or press any buttons. Today, this is done on a computer with automatic speech recognition (ASR) software programs.
1.2 PROBLEM STATEMENT
Nearly 20% people of the world are suffering from various disabilities; many of them are blind or unable to use their hands effectively (Melanie, 2011). The speech recognition systems in those particular cases provide a significant help to them, so that they can share information with people by operating computer through voice input. This project is designed and developed keeping that factor into mind, and a little effort is made to achieve this aim. Our project is capable to recognize the speech and convert the input audio into text; it also enables a user to perform operations such as “save, open, exit” a file by providing voice input.
1.3 AIM AND OBJECTIVES OF THE STUDY
The main aim of this work is designing and implementing a voice recognition system. The objectives of the study are:
- To understand the speech recognition and its fundamentals.
- Its working and applications in different areas
- Its implementation as a desktop Application
- Development for software that can mainly be used for: a) Speech Recognition b) Speech Generation c). Text Editing , d)Tool for operating Machine through voice.
1.4 SCOPE OF THE STUDY
The scope of this study will cover implementing a Voice recognition system which is a technology by which sounds, words or phrases spoken by humans are converted into electrical signals, and these signals are transformed into coding patterns to which meaning has been assigned. While the concept could more generally be called "sound recognition", we focus here on the human voice because we most often and most naturally use our voices to communicate our ideas to others in our immediate surroundings. The system consists of a computer with a sound card and either a microphone or a headset. Other devices like smart phones have all of the necessary hardware built into the device. Also, the software you use needs voice recognition support or if you want to use voice recognition everywhere you need a program like Nuance Naturally Speaking to be installed.
1.5 SIGNIFICANCE OF THE PROJECT
The study shall help the user to open different system software such as opening Ms-paint, notepad and calculator. At the initial level effort is made to provide help for basic operations as discussed above, but the software can further be updated and enhanced in order to cover more operations.
1.6 PROJECT ORGANISATION
The work shall be organized as follows: chapter one discuses the introductory part of the work, chapter two presents the literature review of the study, chapter three describes the methods applied, chapter four discusses the results of the work, chapter five summarizes the research outcomes and the recommendations.
CHAPTER TWO: The chapter one of this work has been displayed above. The complete chapter two of "design and implementation of voice recognition system" is also available. Order full work to download. Chapter two of "design and implementation of voice recognition system" consists of the literature review. In this chapter all the related works on ""design and implementation of voice recognition system were reviewed.
CHAPTER THREE: The complete chapter three of ""design and implementation of voice recognition system is available. Order full work to download. Chapter three of "design and implementation of voice recognition system" consists of the methodology. In this chapter all the method used in carrying out this work was discussed.
CHAPTER FOUR: The complete chapter four of ""design and implementation of voice recognition system is available. Order full work to download. Chapter four of ""design and implementation of voice recognition system consists of all the test conducted during the work and the result gotten after the whole work
CHAPTER FIVE: The complete chapter five of design and construction of a "design and implementation of voice recognition system" is available. Order full work to download. Chapter five of "design and implementation of voice recognition system" consist of conclusion, recommendation and references.
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