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STQ Sophia Antipolis. Calculation of Packet Loss Impact for E-model. Martin Klimo Department of InfoCom Networks University of Zilina Slovakia. E-model Ro - sources generating noise independently on the speech Is - all impairments which occur simultaneously with the speech
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STQ Sophia Antipolis Calculation of Packet Loss Impact for E-model Martin Klimo Department of InfoCom Networks University of Zilina Slovakia KIS – FRI ŽU
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 Packet Loss ETSI Overall Rating R KIS – FRI ŽU
Idea behind using of Is KIS – FRI ŽU
Signal reconstruction by LPC KIS – FRI ŽU
Sample loss Zero sample stuffing Sample repeating 1-st order LPC 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
Packet Loss: zero stuffing, GI process, no compression Rest Jitter: exponential distribution, play-out buffer, test signal Example KIS – FRI ŽU
5.0 MOS 4.5 4.0 3.5 3.0 2.5 2.0 1.5 1 Q [dB] 25 15 20 10 40 30 5 0 10-4 Loss 10-3 10-2 10-1 Sample loss impactMOS=f(p) KIS – FRI ŽU
Sample loss [%] Sample loss impact R=f(pl) 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
ETSITR 101 329-6 G.113 App.A Model MOS=f(pL) KIS – FRI ŽU
Model vs. E.155 KIS – FRI ŽU
Packet Loss VoIP example KIS – FRI ŽU