KIS – FRI ŽU Calculation of Packet Loss Impact for E-model Martin Klimo Department of InfoCom Networks University of Zilina Slovakia STQ Sophia Antipolis

KIS – FRI ŽU Overall Rating R E-model Ro - sources generating noise independently on the speech Is - all impairments which occur simultaneously with the speech Id - impairments caused by delay Ie - impairments caused by low bit rate codecs A - expectation factor Packet Loss ETSI Packet Loss

KIS – FRI ŽU Idea behind using of Is

KIS – FRI ŽU Signal reconstruction by LPC

KIS – FRI ŽU Zero sample stuffing Sample repeating 1-st order LPC Sample loss

KIS – FRI ŽU Is modification ITU-T Rec. G.107 Combining with packet loss on the subjective basis (ITU-T Rec. P.11)

KIS – FRI ŽU Example Packet Loss: zero stuffing, GI process, no compression no compression Rest Jitter: exponential distribution, play-out buffer, test signal play-out buffer, test signal

KIS – FRI ŽU Sample loss impact MOS=f(p) Q [dB] MOS Loss

KIS – FRI ŽU Sample loss impact R=f(p l ) Sample loss [%]

KIS – FRI ŽU Packet loss

KIS – FRI ŽU Bernoulli packet loss 1-st order LPC Burst length

KIS – FRI ŽU Forward masking

KIS – FRI ŽU Zero packet stuffing Bernoulli packet loss

KIS – FRI ŽU ETSI test

KIS – FRI ŽU ETSI TR G.113 App.A Model MOS=f(p L )

KIS – FRI ŽU Model vs. E.155

KIS – FRI ŽU VoIP example Packet Loss