A Methodology for Deriving VoIP Equipment Impairment Factors for a Mixed NB/WB Context
Created by W.Langdon from
gp-bibliography.bib Revision:1.8010
- @Article{Raja:2008:ieeetMM,
-
author = "A. Raja and R. M. A. Azad and C. Flanagan and
C. Ryan",
-
title = "A Methodology for Deriving VoIP Equipment Impairment
Factors for a Mixed NB/WB Context",
-
journal = "IEEE Transactions on Multimedia",
-
year = "2008",
-
volume = "10",
-
number = "6",
-
pages = "1046--1058",
-
month = oct,
-
keywords = "genetic algorithms, genetic programming, PESQ-WB",
-
ISSN = "1520-9210",
-
DOI = "doi:10.1109/TMM.2008.2001359",
-
abstract = "This paper proposes a novel approach to quantifying
the quality degradation of Voice over IP (VoIP)
telephony in the presence of codec and network-related
impairments. This approach differs from the basic ITU-T
E-Model for VoIP quality estimation in that it
addresses mixed narrowband/wideband scenarios. It makes
novel use of instrumental models and symbolic
regression via Genetic Programming (GP) to enable the
evolution of degradation models from a modest set of
initial parameters. Here, a two-step approach has been
used. First, values of impairment factors are derived
using WB-PESQ as a reference model. Secondly, a GP
based symbolic regression approach has been used to
automatically evolve the functional form of equipment
impairment factors from a set of variables. Very few a
priori assumptions are made about the model structure.
The effectiveness of the approach is demonstrated by a
number of generated models which compare favorably with
WB-PESQ and outperform the traditional E-Model in terms
of prediction accuracy when compared using WB-PESQ. A
significant advantage of the approach is that new
models are easily generated to account for continuing
evolution of the VoIP standards.",
-
notes = "Also known as \cite{4637891}",
- }
Genetic Programming entries for
Adil Raja
R Muhammad Atif Azad
Colin Flanagan
Conor Ryan
Citations