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Speech recognition is an interdisciplinary subfield of Computer Science and Computational Linguistics that develops methodologies and technologies that enable the recognition and translation of spoken language into text by computers. It is also known as Automatic Speech Recognition (ASR), computer speech recognition or Speech To Text (STT). It incorporates knowledge and research in the computer science, linguistics and computer engineering fields.
Some speech recognition systems require "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".
This book gives you the knowledge of widely used methods, procedures, concepts and techniques involved in Speech Recognition System such as, Artificial Intelligence, Machine Learning, Deep Learning and Data Mining. It also covers the topics pertaining to Speech Signal Processing and Cyber Security Issues related to Speech Processing.
Dr. M Gunasekaran, Mrs. SEEMA KHANUM, Mrs. S.V RAJIGA
1) Dr. M. GUNASEKARAN
M.C.A., M.Phil., Ph. D
Assistant Professor
Department of Computer Science
Government Arts College
Dharmapuri
Tamilnadu, India
2) Mrs. SEEMA KHANUM
B.E (CSE), M.Tech. (CSE),
Scientist - C
Computer Emergency Response Team (CERT-In)
Ministry of Electronics and Information Technology
Government of India
New Delhi, India
3) Mrs. S.V. RAJIGA
B.Sc., M.C.A., M.Phil.,
Assistant Professor
Department of Computer Applications
Sri Kanyaka Parameswari College of Arts and Science for Women
Chennai
Tamilnadu, India
