Paper Info
Title
Non-intrusive quality evaluation of VoIP using genetic programming.
Abstract
Packet loss is bursty in nature and it affects the quality of VoIP adversely. In this article a novel approach based on Genetic Programming (GP) has been presented that maps the effect of bursty packet loss on listeners' perception of speech quality. The ITU-T P.862 (PESQ) algorithm is used as a reference model in this research. A simplistic non-linear model for effective VoIP quality estimation has been proposed. The performance of the model shows a high correlation with the PESQ algorithm. In the light of current and related research it has also been shown that PESQ does not model the effect of bursty packet loss on speech quality. However, as a good approximation to PESQ the proposed model is suitable for reliable, real-time and continuous evaluation of VoIP calls. It is also claimed that it is conveniently deployable on a wide variety of hardware platforms.
Year
DOI
Venue
2006
10.1145/1315843.1315881
BIONETICS
Keywords
Field
DocType
effective voip quality estimation,related research,reference model,genetic programming,bursty packet loss,pesq algorithm,packet loss,non-intrusive quality evaluation,simplistic non-linear model,speech quality,ant colony optimization,exploration,self organization,genetic algorithms,multi agent systems,internet telephony
Ant colony optimization algorithms,Reference model,Computer science,Packet loss,Real-time computing,Multi-agent system,Genetic programming,Artificial intelligence,Genetic algorithm,PESQ,Voice over IP,Speech recognition,Machine learning
Conference
ISBN
Citations 
PageRank 
1-4244-0463-0
3
0.42
References 
Authors
6
5
Name
Order
Citations
PageRank
Adil Raja1142.76
R. Muhammad Atif Azad29015.10
Colin Flanagan3367.75
Dorel Picovici4295.15
Conor Ryan515528.54