Comparative analysis of speech coders
Ivo Rumenov Draganov, Snejana Pleshkova · Trends in Computer Science and Information Technology · 2020
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.