TY - GEN
T1 - Non-intrusive quality evaluation of VoIP using genetic programming
AU - Raja, Adil
AU - Azad, R. Muhammad Atif
AU - Flanagan, Colin
AU - Picovici, Dorel
AU - Ryan, Conor
PY - 2006
Y1 - 2006
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=50249133068&partnerID=8YFLogxK
U2 - 10.1109/BIMNICS.2006.361795
DO - 10.1109/BIMNICS.2006.361795
M3 - Conference contribution
AN - SCOPUS:50249133068
SN - 1424404630
SN - 9781424404636
T3 - 2006 1st Bio-Inspired Models of Network, Information and Computing Systems, BIONETICS
BT - 2006 1st Bio-Inspired Models of Network, Information and Computing Systems, BIONETICS
PB - IEEE Computer Society
T2 - 2006 1st Bio-Inspired Models of Network, Information and Computing Systems, BIONETICS
Y2 - 11 December 2006 through 13 December 2006
ER -