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Result Analysis to Compute the Entropy of Voice Signal and SNR Using MatLab

Shiv Kumar, Vijay K. Chaudhari, R.K. Singh, Dinesh Varshney, Dr. C. L. Saxena

Abstract


In this project report, (i.e. “Result Analysis to Compute Entropy of Voice Signal (CEVS) SNR using Matlab”) an approach is used to compute the entropy of given voice signal and signal to noise ratio (SNR) with the help of computed entropy. The main goals of this project are:
• To compute the tone of inputted voice signal
• To estimate entropy of tone
• To calculate SNR of entropy
To do this, psychoacoustic model and wavelet toolbox is used. Psychoacoustic model calculates masking threshold. Maximum distortion energy is computed from computed tone of inputted voice signal which defines the CEVS and SNR.


Keywords


Matlab 6.5, Wavelet Toolbox, Psychoacoustic Model, Algorithm.

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References


Jalal Karam, "Various Speech ProCEVSsing Techniques For Speech Compression And Recognition", proceedings of world academy of science, engineering and technology volume 26 December 2007 ISSN 1307-6884, © 2007 waset.org http://www.waset.org/pwaset/v26/v26-133.pdf

Vijay K Chaudhari, Dr. R.K. Singh, Dr. Manish Srivastava, Shiv Kumar, “Voice Signal Compression and Spectrum Analysis (VSCSA): Suitable for Pervasive Computing and Limited Storage DeviCEVS”, Published in “IEEE Xplore Digital Library” on 6-7 March 2009, Page No.: 780-784, ISBN: 978-1-4244-2927-1, INSPEC AcCEVSsion Number: 10520803, Digital Object Identifier: 10.1109/IADCC.2009.4809113, Current Version Published: 2009-03-31, © Copyright 2009 IEEE http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?isnumber=4808969&arnumber=4809113&count=300&index=143

Vijay K Chaudhari, Dr. R.K. Singh, Dr. Dinesh Varshney, Shiv Kumar, “A New Approach for Voice Spectrum Analysis (VSA) Suitable for Pervasive Computing Using Matlab”, Published in “2009 International Conference on Software Technology and Engineering, Chennai, India” published by World Scientific & IACSIT, on July 24 - 26, 2009, ISBN: 978-9-8142-8724-1, Volume No.: 22, Page No.: 390, Published by the World Scientific, © Copyright 2009 IACSIT http://www.iacsit.org/proceeding/icste09.toc.pdf

P R Deshmukh, "Multi-wavelet Decomposition for Audio Compression", IE(I) Journal-ET, Vol 87 , July 2006 http://www.ieindia.org/pdf/87/mem06915.pdf

Background on the Psychoacoustic Model “W.A.V.S. Compression” http://is.rice.edu/~welsh/elec431/psychoAcoustic.html

Stefan Wabnik, Gerald Schuller, Ulrich Kr amer and Jens Hirschfeld, “Frequency warping In Low delay Audio Coding”, ICASSP 2005, 0-7803-8874-7/05/$20.00 ©2005 IEEE www.idmt.fraunhofer.de/de/geschaeftsfelder/schuller/ic assp05_0300181.pdf

Shaleena Jeeawoody, “Voice Analysis and Recognition as a Car Theft Deterrent”, California State Science Fair 2008, Project No: J1307, Ap2/08 http://www.USC.edu/CSSF/Current/Projects/J1307.pdf

Pavel Rajmic and Jan Vlach, "Real-Time Audio ProCEVSsing Via Segmented wavelet Transform" Proc. of the 10th Int. Conference on Digital Audio Effects (DAFx-07), Bordeaux, France, September 10-15, 2007 http://dafx.labri.fr/main/papers/p055.pdf

Hongwu YANG, Dezhi HUANG, Lianhong CAI, “Perceptually Weighted Mel–Cepstrum Analysis Of Speech Based On Psychoacoustic Model”, IEICE TRANS. INF. & SYST., VOL.E89-D, No.12 December 2006 http://hcsi.cs.tsinghua.edu.cn/Paper/paper06/200601.pdf

Samar Krimi, Kais Ouni, Noureddine Ellouze, “Realization of a Psychoacoustic Model for MPEG-1 using Gammachirp WaveLet”, Proceeding in EUSIPCO,2005 http://www.eurasip.org/Proceedings/Eusipco/Eusipco2005/defevent/papers/cr1936.pdf

Tsung-Han Tsai, Yi-Wen Wang, Shih-Way Hung “An MDCT-Based psychoacoustic model co-proCEVSsor design for MPEG-2/4 AAC audio encoder” Proceeding in the 7th International Conference on Digital Audio Effects (DAFx’04), Naples, Italy, October 5-8, 2004 http://www.mp3-tech.org/programmer/docs/P_335.pdf

Ganesh K Venayagamoorthy, Viresh Moonasar, Kumbes Sandrasegaran, “Voice Recognition Using Neural Networks”,Institute of Information Science and Technology (IIST), Massey University, New Zealand, Published in IEEE in 1998, Val. No. 0-7803-5054-5.0029 http://acil.mst.edu/documents/voice_recognition_using.pdf

Andress Holzinger with assistance from G. Searle, “Multimedia Basics”, Volume 1: Technology, ISBN: 81-7008-243-9, Firewall Media Publication

Electronic, Electrical & Computer Engineering, University of Birhingham

F. Abramovich and B.W. Silverman, "Wavelet Decomposition Approaches to statistical Inverse Problem", University of Bristol (U.K.) http://www.mathematik.uni-ulm.de/numerik/teaching/ss05/SeminarWavelets/inverseproblems.pdf

Johan F. Koegel Buford, “Multimedia System”, ISBN: 81-7808-162-8, Tenth Indian Reprint, Pearson Publication

Ciprian Doru Giurc¢aneanu , Ioan T¢abus¸ and Jaakko Astola, "Integer wavelet Transform Based Lossless Audio Compression", Signal ProCEVSsing Laboratory, Tampere University of Technology-Finland http://www.ee.bilkent.edu.tr/~signal/Nsip99/papers/82.pdf

Bastiaan Kleijn , “Speech Signal ProCEVSsing”, Speech, Music and Hearing TMH/KTH Annual Report 2001 www.speech.kth.se/annualreport/2001/11-14tsb.pdf

Amara Graps, Institute of Electrical & Electronics Engineers, “An Introduction to Wavelet”, Published by the IEEE Computer Society, 10662 Los Vaqueros Circle, Los Alamitos, CA 90720, USA, Vol. 2, and Num. 2. http://www.amara.com

HE Dong-Mei and GAO Wen, "Wideband Speech And Audio Coding Based On Wavelet Transform And Psychoacoustic Model", Department of Computer Science and Engineering, Harbin Institute of Technology, Harbin 150001 http://www.jdl.ac.cn/doc/1998/Wideband%20Speech%20and%20Audio%20Coding%20Based%20on%20wavelet%20.pdf.

Trung Nghia Phung, Ngoc Phan Vu, "A Low Bit Rate Wide-Band Speech Coder In The Perceptual Wavelet Packet Domain", International Symposium on Electrical & Electronics Engineering 2007 - Oct 24, 25 2007 - HCM City, Vietnam http://www.dee.hcmut.edu.vn/isee2007/isee%202007%20proceedings/track2_electronics&telecommunications/22.pdf

Bal´azs Bank, Federico Avanzini, Gianpaolo Borin, Giovanni De Poli, Federico Fontana, Davide Rocchesso, “Physically Informed Signal ProCEVSsing Methods for Piano Sound Synthesis: A Research Overview”, EURASIP Journal on Applied Signal ProCEVSsing 2003:10, 941–952, ©2003 Hindawi Publishing Corporation http://home.mit.bme.hu/~bank/publist/jasp03.pdf

Frank A Russo, Lola L Cuddy, Alexander Galembo, William Forde Thompson, "Sensitivity to tonality across the pitch range", Perception, 2007, volume 36, pages 781-790, DOI: 10.1068/p5435, ISSN 0301-0066 (print) http://www.perceptionweb.com/perception/fulltext/p36/p5435.pdf


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