Performance Comparison of Linear Prediction based Vocoders in Linux Platform

Lani Rachel Mathew; Ancy S. Anselam; Sakuntala S. Pillai

doi:https://doi.org/10.14445/22315381/IJETT-V10P310

Research Article | Open Access | Download PDF

Volume 10 | Number 3 | Year 2014 | Article Id. IJETT-V10P310 | DOI : https://doi.org/10.14445/22315381/IJETT-V10P310

Performance Comparison of Linear Prediction based Vocoders in Linux Platform

Lani Rachel Mathew , Ancy S. Anselam , Sakuntala S. Pillai

Citation :

Lani Rachel Mathew , Ancy S. Anselam , Sakuntala S. Pillai, "Performance Comparison of Linear Prediction based Vocoders in Linux Platform," International Journal of Engineering Trends and Technology (IJETT), vol. 10, no. 3, pp. 554-558, 2014. Crossref, https://doi.org/10.14445/22315381/IJETT-V10P310

Abstract

Linear predictive coders form an important class of speech coders. This paper describes the software level implementation of linear prediction based vocoders, viz. Code Excited Linear Prediction (CELP), Low-Delay CELP (LD-CELP) and Mixed Excitation Linear Prediction (MELP) at bit rates of 4.8 kb/s, 16 kb/s and 2.4 kb/s respectively. The C programs of the vocoders have been compiled and executed in Linux platform. Subjective testing with the help of Mean Opinion Score test has been performed. Waveform analysis has been done using Praat and Adobe Audition software. The results show that MELP and CELP produce comparable quality while the quality of LD-CELP coder is much higher, at the expense of higher bit rate.

Keywords

Vocoder, linear prediction, code excited, low delay, mixed excitation, CELP, LD-CELP, MELP, Praat, Linux

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