Sub - Band Coding and Speech Quality Testing

International Journal of Electronics and Communication Engineering

© 2016 by SSRG - IJECE Journal

Volume 3 Issue 1

Year of Publication : 2016

Authors : Karush Suri

10.14445/23488549/IJECE-V3I1P104

How to Cite?

Karush Suri, "Sub - Band Coding and Speech Quality Testing," SSRG International Journal of Electronics and Communication Engineering, vol. 3,  no. 1, pp. 10-13, 2016. Crossref, https://doi.org/10.14445/23488549/IJECE-V3I1P104

Abstract:

Speech coding has proved to be a promising technique in modern telephonic and signal processing systems. The decoding process finds its applications in various telecommunication aspects such as video processing, verbal transmission, voice recognition devices, etc. It also has played an important part in spectrum analysis, radar systems, antenna systems and in enhancing voice privacy methods, globally. In coding the sub- band, the speech coding band is divided into a number of several bands which are coded separately. The audible frequency range (20 Hz – 20 KHz) is divided into frequency sub-bands using a bank of Finite Impulse Response (FIR) filter. The output of each signal is then sampled and encoded. At the receiving end, each signal is demultiplexed, decoded and demodulated. These signals are then combined to reconstruct the main output signal. The basic building blocks of a digital signal processing (DSP) system[1] constitute the interpolators and decimators. These provide the upsampling and down-sampling of the signal at a suitable bit rate. The method helps in obtaining a higher compression ratio of the coding signal. It also provides a flexible variable coding and helps in controlling the transmission of speech within a large range actively. Furthermore, measures of speech quality and speech quality testing have also been discussed.

Keywords:

 Linear Time Invariant, Speech Quality Index, Finite Impulse Response, Mean Opinion Score.

References:

[1]John G. Proakis and Dimitris G. Manolakis, “Digital Signal Processing: Principles, Algorithms and Applications”, Third Edition
[2]Lalitha R Naik and Devaraja R Naik, "Sub band coding of speech signals using multirate signal processing and comparing the various parameter of different speech signal by corrupting the same speech signal"
[3] R. Cox et al., New directions in subband coding,IEEE JSAC 6(2): 391–409 (Feb. 1988).
[4]Computer Complexity of Adaptive Algorithms in Echo Cancellation, Mrs. A.P. Patil, Dr. Mrs. M.R. Patil, IJECEVolume- 2 Issue-7.
[5] ITU-T Recommendation, P.800, " Methods for subjective determination of transmission quality"
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[7]Antony W. Rix, John G. Beerends, Doh-Suk Kim, "Objective assessment of speech and audio quality-technology and applications"