Comparative analysis of speech coders

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Trends in Computer Science and Information Technology volume5-issue1 articles
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Submitted: December 18, 2019
Published: Mar 26, 2020
DOI: 10.17352/tcsit.000010
Keywords:
Speech coder, LPC, Companding, ADPC, MELP

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Ivo R Draganov*
Radio Communications and Department of Video Technologies, Technical University of Sofia, 8 Kliment Ohridski Blvd, 1756 Sofia, Bulgaria
Snejana G Pleshkova
Radio Communications and Department of Video Technologies, Technical University of Sofia, 8 Kliment Ohridski Blvd, 1756 Sofia, Bulgaria

Abstract

In this paper a comparative analysis of some of the most popular speech coders is presented. Qualitatively and quantitatively are tested Linear Prediction Coding in its implementation LPC-10e and with the use of auto-correlation and covariance, companding coding including A-law and µ-Law, ADPCM IMA, G.726 A- and µ-Law, and a fully featured MELP coder. All of them proved their efficiency for the typical applications they have been assign to providing the necessary quality vs. output data rate. The methodology for evaluation along with the codecs’ descriptions are considered useful for new coming specialists in the field of audio compression as one possible starting point for them.

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Article Details

Draganov, I. R., & Pleshkova, S. G. (2020). Comparative analysis of speech coders. Trends in Computer Science and Information Technology, 5(1), 001–004. https://doi.org/10.17352/tcsit.000010
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Copyright (c) 2020 Draganov IR, et al.

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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

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