Basic Fundamental Recognition of Voiced Unvoiced and Silence Region of A Speech
B.M.S. Rani1, A. Jhansi Rani2, T. Ravi3, M. Divya Sree4
1B.M.S. Rani, Assistant Professor, Vignan Nirula Institute and Science for Women Approved by A.I.C.T.E & Affiliated to Jntuk, Kakinada Pedapalakaluru, Guntur, (Andhra Pradesh), India.
2Dr A. Jhansi Rani, Professor, V.R. Siddhartha Engineering College, (Andhra Pradesh), India.
3T. Ravi, Associate Professor, Koneru Lakshmaiah Education Foundation, Governorpet, Vijayawada. (Andhra Pradesh), India.
4M. Divya Sree, Assistant Professor, Vignan Nirula Institute of Technology and Science for Women Approved by A.I.C.T.E & Affiliated to Jntuk, Kakinada Pedapalakaluru, Guntur, (Andhra Pradesh), India.
Manuscript received on November 12, 2014. | Revised Manuscript received on November 22, 2014. | Manuscript published on December 30, 2014. | PP: 83-86 | Volume-4 Issue-2, December 2014. | Retrieval Number: B3606124214/2013©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Speech which is a natural and very easy way of exchanging the information if used as a medium to interact with the computer and can solve all these problems. Speech recognition technology has made it possible for computers to follow human voice commands and understand human languages. The main goal of speech recognition area is to develop techniques and systems for speech as input to machine. Objective is (a) Load, display and manipulation of speech signals.(b) Study and understand the time and frequency domain characteristics of voiced speech.(c) Classification of the voiced/unvoiced/silence features of speech signals in both time domain and frequency domain.(d)auto-correlation sequence of voiced, unvoiced, silence features of the speech signals.
Keywords: Voiced, un voiced, Silence, Time domain, Frequency domain, Auto correlation.