International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 51 - Issue 15 |
Published: August 2012 |
Authors: Nasir Saleem, Sunniya Nasir, Sher Ali |
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Nasir Saleem, Sunniya Nasir, Sher Ali . Comparative Analysis of Speech Compression Algorithms with Perceptual and LP based Quality Evaluations. International Journal of Computer Applications. 51, 15 (August 2012), 37-41. DOI=10.5120/8121-1747
@article{ 10.5120/8121-1747, author = { Nasir Saleem,Sunniya Nasir,Sher Ali }, title = { Comparative Analysis of Speech Compression Algorithms with Perceptual and LP based Quality Evaluations }, journal = { International Journal of Computer Applications }, year = { 2012 }, volume = { 51 }, number = { 15 }, pages = { 37-41 }, doi = { 10.5120/8121-1747 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2012 %A Nasir Saleem %A Sunniya Nasir %A Sher Ali %T Comparative Analysis of Speech Compression Algorithms with Perceptual and LP based Quality Evaluations%T %J International Journal of Computer Applications %V 51 %N 15 %P 37-41 %R 10.5120/8121-1747 %I Foundation of Computer Science (FCS), NY, USA
Speech compression is one of the leading vicinity of digital signal processing that spotlight on dipping the bit rate of speech signals for transmission and storage devoid of considerable loss of quality. In past decades many speech coding techniques have been proposed for speech analysis. This paper attempts to assess and compare two compression techniques on speech signals. To execute this idea we have chosen two low bit rate and widely used speech analysis methods called VELP and MELP. The performances of both are evaluated by performing objective quality tests including PESQ, IS and CEP. Similar speech files are tested with both coders. The objective assessments show that at low bit rate the MELP shows better performance as compared to VELP.