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Alan Clark Telchemy alan@telchemy.com Modeling the effects of Burst Packet Loss and Recency on Subjective Voice Quality Alan Clark Telchemy alan@telchemy.com.

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Presentation on theme: "Alan Clark Telchemy alan@telchemy.com Modeling the effects of Burst Packet Loss and Recency on Subjective Voice Quality Alan Clark Telchemy alan@telchemy.com."— Presentation transcript:

1 Alan Clark Telchemy alan@telchemy.com
Modeling the effects of Burst Packet Loss and Recency on Subjective Voice Quality Alan Clark Telchemy Telchemy – IPtel 2001

2 Embedded Monitoring Need to monitor QoS to provide feedback on network performance / impact on subjective quality Desirable to provide monitoring in the form of a lightweight software agent Focus on time varying impairments – burst packet loss and “recency” Telchemy – IPtel 2001

3 Embedded Monitoring Gateway Gateway QoS metrics VQmon Agent
IP Network QoS metrics VQmon Agent embedded into VoIP Gateway SMS/NMS Telchemy – IPtel 2001

4 The E Model “Mouth to ear” transmission quality measurement
Produces an “R” factor typically in the range 50 (bad) -95 (good) R factor can be related to MOS score, Terminate Early (TME) etc. ITU G.107/ G.108 and ETSI ETR250 Telchemy – IPtel 2001

5 R Factor vs MOS R Factor MOS 4.5 4.0 3.0 Telchemy – IPtel 2001

6 E Model R = Ro - Is - Id - Ie + A Base R value - Noise level
Advantage factor Impairments that occur simultaneously with speech - received speech level - sidetone level - quantization noise Equipment Impairment Factor - CODEC - multiplexing effects Impairments that are delayed with respect to speech - talker echo - listener echo - round trip delay Telchemy – IPtel 2001

7 Extended E Model Ie Packet Loss Network R Factor Jitter User R Factor
Burst model Jitter Model Jitter User R Factor Codec type Codec Model Recency model Delay model Delay, measured using RTCP Telchemy – IPtel 2001

8 Burst vs average loss Burst of packet loss Zero packet loss
Non-bursty packet loss Telchemy – IPtel 2001

9 Instantaneous Quality
Source France Telecom Telchemy – IPtel 2001

10 “Recency” effect MOS 3.82 MOS 3.28 MOS 3.18 60 second call
“Bad” 1.8 MOS (3dB SNR) “Good” 4.3MOS Source AT&T T1A1.7/98-031 Telchemy – IPtel 2001

11 Jitter and Packet Loss Monitor jitter and packet loss after
jitter buffer Jitter buffer Arriving RTP packets CODEC Late packets discarded Telchemy – IPtel 2001

12 Loss Model - Markov model
Model parameters reconstructed at end of call 3 Lost P32 P23 P31 2 Rcvd P13 Burst state P22 1 Rcvd 4 Lost Gap state P14 P41 P11 Telchemy – IPtel 2001

13 Loss Model - mapping loss to Ie
Curve is CODEC dependant Telchemy – IPtel 2001

14 Determining QoS metrics
1. Determine “good” and “bad” state Ie Factor Telchemy – IPtel 2001

15 Determining QoS metrics
1. Determine “good” and “bad” state Ie Factor 2. Estimate Instantaneous R Factor for each state Telchemy – IPtel 2001

16 Determining QoS metrics
3. Determine average Ie 1. Determine “good” and “bad” state Ie Factor 2. Estimate Instantaneous R Factor for each state Telchemy – IPtel 2001

17 Delay effects 4 3 2 Mean Opinion Score Conversation Verify sequence
of random numbers 1 2 3 4 Delay (seconds) Source NTT Telchemy – IPtel 2001

18 Measuring Delay Accumulate frame Encode Jitter Transmission buffer
Decode CODEC CODEC RTCP exchange Telchemy – IPtel 2001

19 Delay Model R Factor Reduction End to end delay (mS) 175 mS “knee”
Telchemy – IPtel 2001

20 Estimation of recency effect
Effects decay over seconds Average for call Delay since last significant burst Telchemy – IPtel 2001

21 Execution model Call 1 Call 2 Initialize Ports Typically 1.4 assembly
Start call End call Start call End call Loss events Loss events Typically 1.4 assembly language instructions per packet Telchemy – IPtel 2001

22 Integration with VoIP SMS
Service Mgt System CDR End of call msg (DRQ) VQmon SNMP Set, Get, Trap Network Mgt System Telchemy – IPtel 2001

23 Ranking accuracy – Set 1 Telchemy – IPtel 2001

24 Ranking Accuracy – Set 2 Telchemy – IPtel 2001

25 Ranking Accuracy – Set 4 Telchemy – IPtel 2001

26 Conclusions Computational model meets design goals
Ranking accuracy is comparable to human listener But need - Systematic comparison with PSQM/ PESQ Increased level of subjective testing Add support for VAD, non-PLC Improved accuracy requires some information on voice frame content Telchemy – IPtel 2001

27 Further work areas Use CODEC generated frame loss event – indicate presence of speech energy Additional subjective testing Wider variety of audio sources Force listeners to focus on call content Design impairments to isolate recency effect, burst characteristics, masking effects Telchemy – IPtel 2001


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