Speech Recognition: Principles And Applications

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Speech Recognition: Principles And Applications

Table of contents
Abstract 3
Overview of the Characteristics of Automatic Speech Recognition Systems 4
Number of Words 4
Use of Grammar 5
Continuous vs. Discrete Speech 5
Speaker Dependency 6
Early Approaches to Automatic Speech Recognition 6
Acoustic-Phonetic Approach 7
Statistical Pattern Recognition Approach 8
Modern Approach to Automatic Speech Recognition 8
Hidden Markov Models 9 Training of an Automatic Speech Recognition System Based on HMMs 11 Sub-Word Units 11
Applications of Automatic Speech Recognition Systems 12
Automated Call-Type Recognition 13
Data Entry 13
Future Applications Using Automatic Speech Recognition Systems 14
Conclusion 14
References 15
Abstract
With the advances of technology, a lot of people may think that integrating the ability of understanding human speech in a computer system is a piece of cake. However, scientists disagree. Since the early nineteen fifties, scientists have tried to implement the perfect automatic speech recognition system, but they failed. They were successful in making the computer recognise a large number of words, but till now, a computer that understands everything without meeting any conditions does not exist. Due to the enormous applications, a lot of money and time is spent in improving speech recognition systems.
SPEECH RECOGNITION: PRINCIPLES AND APPLICATIONS
Nowadays, computer systems play a major role in our lives. They are used everywhere beginning with homes, offices, restaurants, gas stations, and so on. Nonetheless, for some, computers still represent the machine they will never know how to use. Communicating with a computer is done using a keyboard or a mouse, devices many people are not comfortable using. Speech recognition solves this problem and destroys the boundaries between humans and computers. Using a computer will be as easy as talking with your friend.
Unfortunately, scientists have discovered that implementing a perfect speech recognition system is no easy task. This report will present the principles and the major approaches to speech recognition systems along with some of their applications.
Overview of the Characteristics of Automatic Speech Recognition Systems
How can we evaluate a speech recognition system? Obviously describing it by good or bad isnt enough since the performance of such a system may be outstanding in one application and poor in another. In fact, speech recognition systems are designed according to the ...

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