Evaluating Psychoacoustic Parameters and Quality of Transmitted Speech Over Wireless Networks
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Feb 2, 2019
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Psychoacoustic parameter of sound known as loudness is a major quality factor for assessing the perceptual quality of service of speech signals transmitted through telecommunication networks. The Zwicker and Fastl loudness model is a preferred loudness model and in this work has been programmed to obtain both loudness and loudness level of speeches transmitted over wireless. Here,the best maximum instantaneous loudness of the transmitted speeches is 42.55% of that of the original speech. While the best maximum instantaneous loudness level of the transmitted speeches is 87.06% of that of the original speech. These showed an intuitive and innovative representation of the degradation suffered by the transmitted speeches with respect to the original speech.
Keywords: Loudness Model; Psychoacoustic Parameter; Quality of Service; Transmitted Speech.
References
H. Fastl. “Psychoacoustic Basis of Sound Quality Evaluation and Sound Engineering.”13thInterntaional Congress on Sound and Vibration. Vienna, Austria, July 2-6, 2006.
M. Florentine. “Loudness.”Loudness. Edited by Florentine, M.; Popper, A.N.; and Fay, R. R. Springer Handbook of Auditory Research, Springer Science+Business Media, LLC 2011.
T. Poulsen. “Acoustic Communication.Hearing and Speech.”Version 2.0.Technical University of Denmark.Downloaded from orbit.dtu.dk on: Mar 29, 2018.
J. B. Kanade and B. Sivakumar.“A Literature survey on Psychoacoustic models and Wavelets in Audio compression.”International Journal of Advanced Research in Electronics and Communication Engineering (IJARECE) Volume 3, Issue 1, January 2014. Pp 1-7.
Y. Lin and W. H. Abdulla. Audio Watermark: A Comprehensive Foundation Using MATLAB. Springer International Publishing Switzerland.pp 15 – 49.
N. Cote..Integral and Diagnostic Intrusive Prediction of Speech Quality, Springer Book Series.Springer-Verlag Berlin Heidelberg 2011.37-85.
E. Zwickerand H. Fastl.Psychoacoustics: Facts and Models, 3rd Edition, Springer-Verlag Berlin Heidelberg.
P. Websterand O. Jiricek. “A Brief Comparison of Loudness Evaluation Models.”Akustickelisty, 20(2), červenec 2014, str. 8–11.
F. Volk. “Predicting the loudness of non-stationary sounds: Zwicker’s original envelope extraction vs. DIN 45631/A1:2010.”Inter-Noise, Hamburg. 2016. 1722 – 1728.
M. Hauenstein. “A computationally efficient algorithm for calculating loudness patterns of narrowband speech.”Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing, Munich, Germany. 21. 2. 1997. 1311 – 1314.
Genesis IB/RP/10003, 2009. “History and description of loudness models.”GENESIS S. A. December, 2009.
ISO 532-1:2017(en) Acoustics — Methods for calculating loudness — Part 1: Zwicker method
B. C. J.MooreandB. R.Glasberg.: “A Revision of Zwicker’s Loudness Model,”ActaAcousticaVol. 82,1996.
A.J.R. Simpson; M. J. Terrell; and J. D. Reiss.“A Practical Step-by-Step Guide to the Time-Varying Loudness Model of Moore, Glasberg and Baer.”(1997; 2002).Convention Paper 8873.Audio Engineering Society 134th Convention, Rome, Italy, May 4–7, 2013. 1 -7.
G. Sechadri and B. Yegnanarayana.“Perceived loudness of speech based on the characteristics of glottal excitation source.”Journal of Acoustic Society of America. 126 (4), October 2009. 2016 – 2017.
M. Ishibashi; A. Preis.; F. Satoh.; and H. Tachibana.“Relationships between arithmetic averages of sound pressure level calculated in octave bands and Zwicker’s loudness level.”Elsevier Applied Acoustic. 67, 2006.720 – 730.
Audacity 2.1.2. 2015. Audacity is a trademark of Dominic Mazzoni. http://audacityteam.org.
GENESIS S. A. Loudness Toolbox Matlab software. www.genesis.fr. December, 2009.
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How to Cite
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Olatubosun, A. and Olabisi, P. 2019. Evaluating Psychoacoustic Parameters and Quality of Transmitted Speech Over Wireless Networks. European Journal of Engineering Research and Science. 4, 2 (Feb. 2019), 1-6. DOI:https://doi.org/10.24018/ejers.2019.4.2.1088.
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