ABSTRACT
Speech recognition (also known as automatic speech recognition or computer speech recognition) converts spoken words to text. The term "voice recognition" is sometimes used to refer to recognition systems that must be trained to a particular speaker—as is the case for most desktop recognition software. Recognizing the speaker can simplify the task of translating speech. Speech recognition is a broader solution that refers to technology that can recognize speech without being targeted at single speaker—such as a call system that can recognize arbitrary voices. Speech recognition applications include voice user interfaces such as voice dialing (e.g., "Call home"), call routing (e.g., "I would like to make a collect call"), domotic appliance control, search (e.g., find a podcast where particular words were spoken), simple data entry (e.g., entering a credit card number), preparation of structured documents (e.g., a radiology report), speech-to-text processing (e.g., word processors or emails), and aircraft (usually termed Direct Voice Input).
TABLE OF CONTENTS
TITLE PAGE
CERTIFICATION PAGE
DEDICATION
ACKNOWLEDGEMENT
ABSTRACT
CHAPTER ONE
1.0 INTRODUCTION
1.1 STATEMENT OF PROBLEM
1.2 PURPOSE OF THE STUDY
1.3 IMPORTANCE OF THE STUDY
1.4 DEFINITION OF TERMS
1.5 ASSUMPTION OF THE STUDY
CHAPTER TWO
2.0 LITERATURE REVIEW
2.1 APPLICATIONS OF SPEECH RECOGNITION
2.2 HEALTHCARE
2.3 MILITARY
2.4 HIGH-PERFORMANCE FIGHTER AIRCRAFT
2.5 HELICOPTERS
CHAPTER THREE
3.0 HANDS-FREE COMPUTING
3.1 SPEECH-TO-TEXT REPORTER
3.2 AUDIO VISUAL SPEECH RECOGNITION
CHAPTER FOUR
4.0 HINDRANCES IN SPEECH RECOGNITION
CHAPTER FIVE
5.0 CONCLUSION
5.1 LIMITATIONS OF STUDY
5.2 SUGGESTION FOR FURTHER RESEARCH
REFERENCES
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