THE PROCESS OF SPEECH RECOGNITION, PERCEPTION, SPEECH SIGNALS AND SPEECH PRODUCTION IN HUMAN BEINGS
Journal Title: International Journal of Advanced Research in Computer Engineering & Technology(IJARCET) - Year 2012, Vol 1, Issue 9
Abstract
Automatic recognition of speech by machine has been a goal of research for more than five decades. In spite of glamour of designing an intelligent machine that can recognize the spoken word and recognize its meaning, and in spite of the enormous research efforts spent in trying to create such a machine, we are far from achieving the desired goal of a machine that can understand spoken discourse on any subject by all speakers in all environments. Thus, an important question in this paper is, what do we mean by “speech recognition by machine”? Another important question is what are the issue in developing conversational speech recognition and understanding systems by machine? Because we do not know how to solve the ultimate challenge of speech recognition. One of the most difficult aspects of performing research in speech recognition by machine is its interdisciplinary nature, and the tendency of most researchers to apply a monolithic approach to individual problems. My aim in this paper is to give a series of presentations on the fundamental principles of most modern, successful speech- recognition systems so as to provide a framework to understand the conception of speech recognition.[1] Key Words- Speech mechanism, speech perception, speech production, speech recognition Speech signal, Speech Recognition, Speech Process
Authors and Affiliations
DR. Sunita Rana
Keywords
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