An Evolutionary Approach to Speech Quality Estimation
Created by W.Langdon from
gp-bibliography.bib Revision:1.8010
- @InProceedings{Raja:2007:FBIT,
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author = "A. Raja and R. M. A. Azad and C. Flanagan and
C. Ryan",
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title = "An Evolutionary Approach to Speech Quality
Estimation",
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booktitle = "Proceedings of the 2007 International Conference
Frontiers in the Convergence of Bioscience and
Information Technologies (FBIT 2007)",
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year = "2007",
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pages = "757--760",
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address = "Jeju Island, Korea",
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month = oct # " 11-13",
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publisher = "IEEE Press",
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keywords = "genetic algorithms, genetic programming",
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isbn13 = "978-0-7695-2999-8",
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DOI = "doi:10.1109/FBIT.2007.98",
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abstract = "In this paper we have employed a genetic programming
(GP) based symbolic regression approach to estimate the
speech quality as a function of impairments due to IP
network and low bitrate coding. A main advantage of GP
is that it can produce human-readable results in the
form of analytical expressions. Moreover, GP is capable
of weeding out irrelevant parameters and concentrating
on the most salient ones. These features of GP make our
results superior to the past research based on
Artificial Neural Networks (ANNs) by Sun and Mohamed
et. al. and on lookup tables by Hoene et. al. We have
used PESQ as a reference for evolutionary modelling.
The results of proposed models show a high correlation
with PESQ. Moreover, our models are suitable for
real-time and non-intrusive estimation of VoIP
quality.",
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notes = "Dept. of ECE, Limerick Univ., Limerick",
- }
Genetic Programming entries for
Adil Raja
R Muhammad Atif Azad
Colin Flanagan
Conor Ryan
Citations