Speech and multimedia Transmission Quality (STQ); Speech Quality performance in the presence of background noise; Part 3: Background noise transmission - Objective test methods

REG/STQ-270

Kakovost prenosa govora in večpredstavnih vsebin (STQ) - Kakovost govora v prisotnosti šuma ozadja - 3. del: Prenos šuma ozadja - Objektivne preskusne metode

Cilj tega dokumenta je identifikacija in opredelitev preskusnih metod, ki jih je mogoče uporabiti za objektivno vrednotenje zmogljivosti ozko- in širokopasovnih terminalov ter sistemov za govorno komunikacijo v prisotnosti šuma ozadja.
Šum ozadja je težava v skoraj vseh okoliščinah in pogojih, zato ga je treba upoštevati tako v terminalih kot omrežjih. V tem dokumentu so podane informacije o preskusnih metodah za objektivno vrednotenje kakovosti govora v prisotnosti šuma ozadja. Ta dokument vključuje:
• opis izbranega postopka strokovnega naknadnega vrednotenja za izbiro subjektivnih preskusnih podatkov v obsegu objektivnih metod;
• rezultate vrednotenja zmogljivosti trenutnih metod, opisanih v priporočilih ITU-T P.862 [i.16] in P.862.1 [i.17] ter v dokumentu TOSQA2001 [i.19], ki so izbrane za vrednotenje terminalov v okviru preskušanja kakovosti govora ETSI VoIP [i.8], [i.9], [i.10] in [i.11];
• metodo za objektivno določanje različnih parametrov, ki vplivajo na kakovost govora v prisotnosti šuma ozadja, pri čemer se upošteva:
– kakovost govora,
– kakovost prenosa šuma ozadja,
– splošna kakovost.
Ta dokument je namenjen za uporabo v povezavi s:
– standardom ETSI ES 202 396-1 [i.1], ki opisuje snemanje in reprodukcijo za realistično simulacijo
scenarijev s šumom ozadja v laboratorijskih okoljih za vrednotenje zmogljivosti terminalov in
komunikacijskih sistemov;
– standardom ETSI EG 202 396-2 [i.2], ki opisuje simulacijo oslabitev omrežja in postopek simulacije realističnih scenarijev omrežja za prenos ter vključuje metode in rezultate subjektivnega točkovanja za podatke, ki predstavljajo osnovo tega dokumenta;
– stavki, govorjeni v francoščini, kot je opredeljeno v priporočilu ITU-T P.501 [i.13] za širokopasovna omrežja, in stavki, govorjeni v angleščini, kot je opredeljeno v priporočilu ITU-T P.501 [i.13] za ozkopasovna omrežja.

General Information

Status
Published
Publication Date
15-May-2018
Current Stage
12 - Completion
Due Date
28-May-2018
Completion Date
16-May-2018

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ETSI EG 202 396-3 V1.7.1 (2018-03)






ETSI GUIDE
Speech and multimedia Transmission Quality (STQ);
Speech Quality performance
in the presence of background noise;
Part 3: Background noise transmission -
Objective test methods

---------------------- Page: 1 ----------------------
2 ETSI EG 202 396-3 V1.7.1 (2018-03)



Reference
REG/STQ-270
Keywords
noise, QoS, quality, speech
ETSI
650 Route des Lucioles
F-06921 Sophia Antipolis Cedex - FRANCE

Tel.: +33 4 92 94 42 00  Fax: +33 4 93 65 47 16

Siret N° 348 623 562 00017 - NAF 742 C
Association à but non lucratif enregistrée à la
Sous-Préfecture de Grasse (06) N° 7803/88

Important notice
The present document can be downloaded from:
http://www.etsi.org/standards-search
The present document may be made available in electronic versions and/or in print. The content of any electronic and/or
print versions of the present document shall not be modified without the prior written authorization of ETSI. In case of any
existing or perceived difference in contents between such versions and/or in print, the only prevailing document is the
print of the Portable Document Format (PDF) version kept on a specific network drive within ETSI Secretariat.
Users of the present document should be aware that the document may be subject to revision or change of status.
Information on the current status of this and other ETSI documents is available at
https://portal.etsi.org/TB/ETSIDeliverableStatus.aspx
If you find errors in the present document, please send your comment to one of the following services:
https://portal.etsi.org/People/CommiteeSupportStaff.aspx
Copyright Notification
No part may be reproduced or utilized in any form or by any means, electronic or mechanical, including photocopying
and microfilm except as authorized by written permission of ETSI.
The content of the PDF version shall not be modified without the written authorization of ETSI.
The copyright and the foregoing restriction extend to reproduction in all media.

© ETSI 2018.
All rights reserved.

TM TM TM
DECT , PLUGTESTS , UMTS and the ETSI logo are trademarks of ETSI registered for the benefit of its Members.
TM TM
3GPP and LTE are trademarks of ETSI registered for the benefit of its Members and
of the 3GPP Organizational Partners.
oneM2M logo is protected for the benefit of its Members.
®
GSM and the GSM logo are trademarks registered and owned by the GSM Association.
ETSI

---------------------- Page: 2 ----------------------
3 ETSI EG 202 396-3 V1.7.1 (2018-03)
Contents
Intellectual Property Rights . 5
Foreword . 5
Modal verbs terminology . 5
1 Scope . 6
2 References . 6
2.1 Normative references . 6
2.2 Informative references . 6
3 Symbols and abbreviations . 8
3.1 Symbols . 8
3.2 Abbreviations . 8
4 Speech signals to be used . 9
5 Selection of the data within the scope of the wideband objective model: Experts evaluation . 10
5.1 Selection process . 10
5.2 Results . 10
5.3 French database . 11
6 Description of the wideband objective test method . 11
6.1 Introduction . 11
6.2 Speech sample preparation and nomenclature . 12
6.2.1 Speech sample preparation . 12
6.2.2 Nomenclature . 15
6.3 Additional Training data . 16
6.4 Principles of Relative Approach and Δ Relative Approach . 16
6.5 Objective N-MOS. 19
6.5.1 Introduction. 19
6.5.2 Description of N-MOS algorithm . 20
6.5.3 Comparing subjective and objective N-MOS results . 23
6.6 Objective S-MOS . 24
6.6.1 Introduction. 24
6.6.2 Description of S-MOS Algorithm . 25
6.6.3 Comparing Subjective and Objective S-MOS Results . 28
6.7 Objective G-MOS. 29
6.7.1 Description of G-MOS Algorithm . 29
6.7.2 Comparing subjective and objective G-MOS results . 30
7 Validation of the Wideband Objective Test Method . 31
7.1 Introduction . 31
7.2 ETSI EG 202 396-2 Database Results Analysis . 33
7.2.1 Comparing subjective and objective N-MOS results . 33
7.2.2 Comparing subjective and objective S-MOS results . 33
7.2.3 Comparing Subjective and Objective G-MOS Results . 34
7.3 Orange Validation Database results Analysed . 35
7.3.0 Introduction. 35
7.3.1 Comparing subjective and objective N-MOS results . 35
7.3.2 Comparing subjective and objective S-MOS results . 35
7.3.3 Comparing Subjective and Objective G-MOS Results . 36
8 Objective Model for Narrowband Applications . 37
8.0 Introduction . 37
8.1 File pre-processing . 37
8.2 Adaptation of the Calculations . 38
8.3 Prediction results . 38
Annex A: Detailed post evaluation of listening test results . 40
ETSI

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4 ETSI EG 202 396-3 V1.7.1 (2018-03)
Annex B: Results of PESQ and TOSQA2001 - Analysis of ETSI EG 202 396-2 database . 43
Annex C: Comparison of objective MOS versus auditory MOS for the complete STF 294
database . 50
Annex D: Comparison of objective MOS versus auditory MOS for rejected conditions . 52
Annex E: Void . 54
Annex F: Detailed STF 294 subjective and objective validation test results . 55
Annex G: Void . 58
Annex H: Extension of the Speech Quality Test Method to Narrowband: Adaptation,
Training and Validation . 59
Annex I: Void . 61
Annex J: Summary of Czech samples not used for model training . 62
J.0 Introduction . 62
J.1 Selection process - Czech database . 62
J.2 General differences between the databases . 64
J.3 Comparison of the objective method results for Czech and French samples . 67
J.4 Czech conditions results analysis . 72
J.4.1 Comparing subjective and objective N-MOS results . 72
J.4.2 Comparing subjective and objective S-MOS results . 72
J.4.3 Comparing Subjective and Objective G-MOS Results. 73
J.5 Language Dependent Robustness of G-MOS. 74
J.6 Regression Coefficients for Czech data . 75
J.7 Post selection . 76
Annex K: Relative Approach Non-Linear Transformation . 80
Annex L: Bibliography . 81
History . 82

ETSI

---------------------- Page: 4 ----------------------
5 ETSI EG 202 396-3 V1.7.1 (2018-03)
Intellectual Property Rights
Essential patents
IPRs essential or potentially essential to normative deliverables may have been declared to ETSI. The information
pertaining to these essential IPRs, if any, is publicly available for ETSI members and non-members, and can be found
in ETSI SR 000 314: "Intellectual Property Rights (IPRs); Essential, or potentially Essential, IPRs notified to ETSI in
respect of ETSI standards", which is available from the ETSI Secretariat. Latest updates are available on the ETSI Web
server (https://ipr.etsi.org/).
Pursuant to the ETSI IPR Policy, no investigation, including IPR searches, has been carried out by ETSI. No guarantee
can be given as to the existence of other IPRs not referenced in ETSI SR 000 314 (or the updates on the ETSI Web
server) which are, or may be, or may become, essential to the present document.
Trademarks
The present document may include trademarks and/or tradenames which are asserted and/or registered by their owners.
ETSI claims no ownership of these except for any which are indicated as being the property of ETSI, and conveys no
right to use or reproduce any trademark and/or tradename. Mention of those trademarks in the present document does
not constitute an endorsement by ETSI of products, services or organizations associated with those trademarks.
Foreword
This ETSI Guide (EG) has been produced by ETSI Technical Committee Speech and multimedia Transmission Quality
(STQ).
The present document is a deliverable of ETSI Specialized Task Force (STF) 294 entitled: "Improving the quality of
eEurope wideband speech applications by developing a performance testing and evaluation methodology for
background noise transmission".
The present document is part 3 of a multi-part deliverable covering Speech and multimedia Transmission Quality
(STQ); Speech Quality performance in the presence of background noise, as identified below:
Part 1: "Background noise simulation technique and background noise database";
Part 2: "Background noise transmission - Network simulation - Subjective test database and results";
Part 3: "Background noise transmission - Objective test methods".
Modal verbs terminology
In the present document "should", "should not", "may", "need not", "will", "will not", "can" and "cannot" are to be
interpreted as described in clause 3.2 of the ETSI Drafting Rules (Verbal forms for the expression of provisions).
"must" and "must not" are NOT allowed in ETSI deliverables except when used in direct citation.
ETSI

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6 ETSI EG 202 396-3 V1.7.1 (2018-03)
1 Scope
The present document aims to identify and define testing methodologies which can be used to objectively evaluate the
performance of narrowband and wideband terminals and systems for speech communication in the presence of
background noise.
Background noise is a problem in mostly all situations and conditions and need to be taken into account in both,
terminals and networks. The present document provides information about the testing methods applicable to objectively
evaluate the speech quality in the presence of background noise. The present document includes:
• The description of the experts post evaluation process chosen to select the subjective test data being within the
scope of the objective methods.
• The results of the performance evaluation of the currently existing methods described in Recommendations
ITU-T P.862 [i.16] and P.862.1 [i.17] and in TOSQA2001 [i.19] which is chosen for the evaluation of
terminals in the framework of ETSI VoIP speech quality test events [i.8], [i.9], [i.10] and [i.11].
• The method which is applicable to objectively determine the different parameters influencing the speech
quality in the presence of background noise taking into account:
- the speech quality;
- the background noise transmission quality;
- the overall quality.
• The present document is to be used in conjunction with:
- ETSI ES 202 396-1 [i.1] which describes a recording and reproduction setup for realistic simulation of
background noise scenarios in lab-type environments for the performance evaluation of terminals and
communication systems.
- ETSI EG 202 396-2 [i.2] which describes the simulation of network impairments and how to simulate
realistic transmission network scenarios and which contains the methodology and results of the
subjective scoring for the data forming the basis of the present document.
- French speech sentences as defined in Recommendation ITU-T P.501 [i.13] for wideband and English
speech sentences as defined in Recommendation ITU-T P.501 [i.13] for narrowband.
2 References
2.1 Normative references
Normative references are not applicable in the present document.
2.2 Informative references
References are either specific (identified by date of publication and/or edition number or version number) or
non-specific. For specific references, only the cited version applies. For non-specific references, the latest version of the
referenced document (including any amendments) applies.
NOTE: While any hyperlinks included in this clause were valid at the time of publication, ETSI cannot guarantee
their long term validity.
The following referenced documents are not necessary for the application of the present document but they assist the
user with regard to a particular subject area.
[i.1] ETSI ES 202 396-1: "Speech and multimedia Transmission Quality (STQ); Speech quality
performance in the presence of background noise; Part 1: Background noise simulation technique
and background noise database".
ETSI

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7 ETSI EG 202 396-3 V1.7.1 (2018-03)
[i.2] ETSI EG 202 396-2: "Speech Processing, Transmission and Quality Aspects (STQ); Speech
Quality performance in the presence of background noise; Part 2: Background Noise Transmission
- Network Simulation - Subjective Test Database and Results".
[i.3] Recommendation ITU-T P.835: "Subjective test methodology for evaluating speech
communication systems that include noise suppression algorithm".
[i.4] Recommendation ITU-T P.800: "Methods for subjective determination of transmission quality".
[i.5] Recommendation ITU-T P.831: "Subjective performance evaluation of network echo cancellers".
[i.6] Genuit, K.: "Objective Evaluation of Acoustic Quality Based on a Relative Approach", InterNoise
'96, Liverpool, UK.
[i.7] Recommendation ITU-T SG 12 Contribution 34: "Evaluation of the quality of background noise
transmission using the "Relative Approach"".
[i.8] ETSI 2nd Speech Quality Test Event: "Anonymized Test Report", ETSI Plugtests, HEAD
acoustics, T-Systems Nova.
NOTE: Available at http://www.etsi.org/WebSite/OurServices/Plugtests/History.aspx. Also available as ETSI
TR 102 648-3.
[i.9] ETSI 3rd Speech Quality Test Event: "Anonymized Test Report "IP Gateways".
NOTE: Available at http://www.etsi.org/WebSite/OurServices/Plugtests/History.aspx.
[i.10] ETSI 3rd Speech Quality Test Event: "Anonymized Test Report "IP Phones".
[i.11] ETSI 4th Speech Quality Test Event: "Anonymized Test Report "IP Gateways and IP Phones".
NOTE: Available at http://www.etsi.org/WebSite/OurServices/Plugtests/History.aspx.
[i.12] F. Kettler, H.W. Gierlich, F. Rosenberger: "Application of the Relative Approach to Optimize
Packet Loss Concealment Implementations", DAGA, March 2003, Aachen, Germany.
[i.13] Recommendation ITU-T P.501: "Test Signals for Use in Telephonometry".
[i.14] R. Sottek, K. Genuit: "Models of Signal Processing in human hearing", International Journal of
Electronics and Communications (AEÜ) volume 59, 2005, p. 157-165.
NOTE: Available at http://www.elsevier.de/aeue.
[i.15] SAE International - Document 2005-01-2513: "Tools and Methods for Product Sound Design of
Vehicles" R. Sottek, W. Krebber, G. Stanley.
[i.16] Recommendation ITU-T P.862: "Perceptual evaluation of speech quality (PESQ): An objective
method for end-to-end speech quality assessment of narrowband telephone networks and speech
codecs".
[i.17] Recommendation ITU-T P.862.1: "Mapping function for transforming P.862 raw result scores to
MOS-LQO".
[i.18] Recommendation ITU-T P.862.2: "Wideband extension to Recommendation P.862 for the
assessment of wideband telephone networks and speech codecs".
[i.19] Recommendation ITU-T SG 12 Contribution 19: "Results of objective speech quality assessment
of wideband speech using the Advanced TOSQA2001".
[i.20] Recommendation ITU-T G.722: "7 kHz audio-coding within 64 kbit/s".
[i.21] Recommendation ITU-T G.722.2: "Wideband coding of speech at around 16 kbit/s using Adaptive
Multi-Rate Wideband (AMR-WB)".
[i.22] Recommendation ITU-T P.56: "Objective measurement of active speech level".
[i.23] Recommendation ITU-T P.57: "Artificial ears".
ETSI

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8 ETSI EG 202 396-3 V1.7.1 (2018-03)
[i.24] M. Spiegel: "Theory and problems of statistics", McGraw Hill, 1998.
[i.25] Void.
[i.26] M. Kendall: "Rank correlation methods", Charles Griffin & Company Limited, 1948.
[i.27] Sottek, R.: "Modelle zur Signalverarbeitung im menschlichen Gehör", PHD thesis RWTH Aachen,
1993.
[i.28] Recommendation ITU-T P.830: "Subjective performance assessment of telephone-band and
wideband digital codecs".
[i.29] Void.
[i.30] ANSI S1.1-1986 (ASA 65-1986): "Specifications for Octave-Band and Fractional-Octave-Band
Analog and Digital Filters", 1993.
[i.31] Recommendation ITU-T G.160 Appendix II, Amendment 2: "Voice enhancement devices:
Revised Appendix II - Objective measures for the characterization of the basic functioning of
noise reduction algorithms".
[i.32] ETSI TS 103 106: "Speech and multimedia Transmission Quality (STQ); Speech quality
performance in the presence of background noise: Background noise transmission for mobile
terminals-objective test methods".
[i.33] Hastie T.; Tibshirani R. and Friedman J.: "The Elements of Statistical Learning: Data Mining,
Inference, and Prediction", New York: Springer-Verlag, 2001.
[i.34] ETSI EG 202 396-3 (V1.1.1 to V1.3.1): "Speech Processing, Transmission and Quality Aspects
(STQ); Speech Quality performance in the presence of background noise; Part 3: Background
noise transmission - Objective test methods".
3 Symbols and abbreviations
3.1 Symbols
For the purposes of the present document, the following symbols apply:
2
σ Variance
3.2 Abbreviations
For the purposes of the present document, the following abbreviations apply:
AMR Adaptive MultiRate
ASL Active Speech Level
NOTE: According to Recommendation ITU-T P.56 [i.22].
BGN BackGround Noise
CDF Cumulative Density Function
dB SPL Sound Pressure Level re 20 µPa in dB
DB Data Base
DUT Device Under Test
EFR Enhance Full Rate
FR Full Rate
G-MOS Global MOS
NOTE: MOS related to the overall sample.
GSM Global System for Mobile Communication
ETSI

---------------------- Page: 8 ----------------------
9 ETSI EG 202 396-3 V1.7.1 (2018-03)
HATS Head And Torso Simulator
HiQ High Quality (codec mode)
IP Internet Protocol
IRS Intermediate Reference System
ITU International Telecommunication Union
ITU-T Telecom Standardization Body of ITU
LQ Low Quality (codec mode)
MMSE Minimum Mean Square Error
MOS Mean Opinion Score
MOS-LQSN Mean Opinion Score - Listening Quality Subjective Noise
MRP Mouth Reference Point
NB NarrowBand
NBGN Level of background noise
NI Network I conditions
NII Network II conditions
NIII Network III conditions
N-MOS Noise MOS
NOTE: MOS related to the noise transmission only.
NR Noise Reduction
NR (filter) Noise Reduction (filter)
NSA Noise Suppression Algorithm
PESQ Perceptual Evaluation of Speech Quality
PLC Packet Loss Concealment
RCV ReCeiVe
RMS Root Mean Square
RMSE Random Mean Square Error
SG Study Group
S-MOS Speech MOS
NOTE: MOS related to the speech signal only.
SND Sending Direction
SNR Signal to Noise Ratio
SQTE Speech Quality Test Event
SPL Sound Pressure Level
STD STandard Deviation
STF Specialized Task Force
TMOS TOSQA Mean Opinion Score
TOR Terms Of Reference
VAD Voice Activity Detection
VoIP Voice over IP
WB WideBand
4 Speech signals to be used
As with any objective model, the prediction of speech quality depends on the conditions under which the model was
tested and validated (see clauses 6.1 and 8). This dependency also applies to the speech material used in conjunction
with the objective model.
The wideband version of the model uses French speech sentences. The near end speech signal (clean speech signal)
consists of 8 sentences of speech (2 male and 2 female talkers, 2 sentences each). Appropriate speech samples can be
taken from Recommendation ITU-T P.501 [i.13].
The narrowband version of the model uses English speech sentences. The near end speech signal (clean speech signal)
consists of 8 sentences of speech (2 male and 2 female talkers, 2 sentences each). Appropriate speech samples can be
taken from Recommendation ITU-T P.501 [i.13].
ETSI

---------------------- Page: 9 ----------------------
10 ETSI EG 202 396-3 V1.7.1 (2018-03)
5 Selection of the data within the scope of the
wideband objective model: Experts evaluation
5.1 Selection process
The aim of the selection process was to identify those data in the databases described in ETSI EG 202 396-2 [i.2] which
are consistent with the scope of the objective models to be studied within the present document.
The experts were selected on the based on the definition found in e.g. Recommendation ITU-T P.831 [i.5]: experts are
experienced in subjective testing. Experts are able to describe an auditory event in detail and are able to separate
different events based on specific impairments. They are able to describe their subjective impressions in detail. They
have a background in technical implementations of noise reduction systems and transmission impairments and do have
detailed knowledge of the influence of particular implementations on subjective quality.
Their task was to select the relevant conditions within the scope of the model to be developed. Therefore they had to
verify the consistency of the data with respect to the following selection criteria:
1) Artefacts others than the ones which should have been produced by the signal processing described in ETSI
EG 202 396-2 [i.2] e.g. due to the additional amplification required in order to provide a listening level of
79 dB SPL.
2) Inconsistencies within one condition due to the selection of the individual speech samples from the database
for subjective evaluation.
3) Inconsistencies within one condition due to statistical variation of the signal processing described in ETSI
EG 202 396-2 [i.2] leading to non consistent judgements within this condition.
4) Inconsistencies due to Recommendation ITU-T P.56 [i.22] level adjustment process chosen for the complete
files including the background noise.
As a result of the experts listening test a set of data was selected which is used for the development of the objective
model.
In the selection process five expert listeners (non-native French speakers) were involved. Their task was not to produce
new judgements, but to check all the samples in the database with respect to the possible artefacts described above.
A playback system with calibrated headphones was used for the test. The equalization provided by the headphone
manufacturer was used since this was the one used in the auditory French test setup.
NOTE: These headphones and headphone amplifiers were used in the tests since they provide the performance
required. Other products providing the equivalent performance could be used if such an experiment
should be repeated by others. This information is given for the convenience of users of the present
document and does not constitute an endorsement by ETSI of these products.
All samples could be heard by the experts as often as required in order to get final agreeme
...

Final draft ETSI EG 202 396-3 V1.7.1 (2018-03)






ETSI GUIDE
Speech and multimedia Transmission Quality (STQ);
Speech Quality performance
in the presence of background noise;
Part 3: Background noise transmission -
Objective test methods

---------------------- Page: 1 ----------------------
2 Final draft ETSI EG 202 396-3 V1.7.1 (2018-03)



Reference
REG/STQ-270
Keywords
noise, QoS, quality, speech
ETSI
650 Route des Lucioles
F-06921 Sophia Antipolis Cedex - FRANCE

Tel.: +33 4 92 94 42 00  Fax: +33 4 93 65 47 16

Siret N° 348 623 562 00017 - NAF 742 C
Association à but non lucratif enregistrée à la
Sous-Préfecture de Grasse (06) N° 7803/88

Important notice
The present document can be downloaded from:
http://www.etsi.org/standards-search
The present document may be made available in electronic versions and/or in print. The content of any electronic and/or
print versions of the present document shall not be modified without the prior written authorization of ETSI. In case of any
existing or perceived difference in contents between such versions and/or in print, the only prevailing document is the
print of the Portable Document Format (PDF) version kept on a specific network drive within ETSI Secretariat.
Users of the present document should be aware that the document may be subject to revision or change of status.
Information on the current status of this and other ETSI documents is available at
https://portal.etsi.org/TB/ETSIDeliverableStatus.aspx
If you find errors in the present document, please send your comment to one of the following services:
https://portal.etsi.org/People/CommiteeSupportStaff.aspx
Copyright Notification
No part may be reproduced or utilized in any form or by any means, electronic or mechanical, including photocopying
and microfilm except as authorized by written permission of ETSI.
The content of the PDF version shall not be modified without the written authorization of ETSI.
The copyright and the foregoing restriction extend to reproduction in all media.

© ETSI 2018.
All rights reserved.

TM TM TM
DECT , PLUGTESTS , UMTS and the ETSI logo are trademarks of ETSI registered for the benefit of its Members.
TM TM
3GPP and LTE are trademarks of ETSI registered for the benefit of its Members and
of the 3GPP Organizational Partners.
oneM2M logo is protected for the benefit of its Members.
®
GSM and the GSM logo are trademarks registered and owned by the GSM Association.
ETSI

---------------------- Page: 2 ----------------------
3 Final draft ETSI EG 202 396-3 V1.7.1 (2018-03)
Contents
Intellectual Property Rights . 5
Foreword . 5
Modal verbs terminology . 5
1 Scope . 6
2 References . 6
2.1 Normative references . 6
2.2 Informative references . 6
3 Symbols and abbreviations . 8
3.1 Symbols . 8
3.2 Abbreviations . 8
4 Speech signals to be used . 9
5 Selection of the data within the scope of the wideband objective model: Experts evaluation . 10
5.1 Selection process . 10
5.2 Results . 10
5.3 French database . 11
6 Description of the wideband objective test method . 11
6.1 Introduction . 11
6.2 Speech sample preparation and nomenclature . 12
6.2.1 Speech sample preparation . 12
6.2.2 Nomenclature . 15
6.3 Additional Training data . 16
6.4 Principles of Relative Approach and Δ Relative Approach . 16
6.5 Objective N-MOS. 19
6.5.1 Introduction. 19
6.5.2 Description of N-MOS algorithm . 20
6.5.3 Comparing subjective and objective N-MOS results . 23
6.6 Objective S-MOS . 24
6.6.1 Introduction. 24
6.6.2 Description of S-MOS Algorithm . 25
6.6.3 Comparing Subjective and Objective S-MOS Results . 28
6.7 Objective G-MOS. 29
6.7.1 Description of G-MOS Algorithm . 29
6.7.2 Comparing subjective and objective G-MOS results . 30
7 Validation of the Wideband Objective Test Method . 31
7.1 Introduction . 31
7.2 ETSI EG 202 396-2 Database Results Analysis . 33
7.2.1 Comparing subjective and objective N-MOS results . 33
7.2.2 Comparing subjective and objective S-MOS results . 33
7.2.3 Comparing Subjective and Objective G-MOS Results . 34
7.3 Orange Validation Database results Analysed . 35
7.3.0 Introduction. 35
7.3.1 Comparing subjective and objective N-MOS results . 35
7.3.2 Comparing subjective and objective S-MOS results . 35
7.3.3 Comparing Subjective and Objective G-MOS Results . 36
8 Objective Model for Narrowband Applications . 37
8.0 Introduction . 37
8.1 File pre-processing . 37
8.2 Adaptation of the Calculations . 38
8.3 Prediction results . 38
Annex A: Detailed post evaluation of listening test results . 40
ETSI

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4 Final draft ETSI EG 202 396-3 V1.7.1 (2018-03)
Annex B: Results of PESQ and TOSQA2001 - Analysis of ETSI EG 202 396-2 database . 43
Annex C: Comparison of objective MOS versus auditory MOS for the complete STF 294
database . 50
Annex D: Comparison of objective MOS versus auditory MOS for rejected conditions . 52
Annex E: Void . 54
Annex F: Detailed STF 294 subjective and objective validation test results . 55
Annex G: Void . 58
Annex H: Extension of the Speech Quality Test Method to Narrowband: Adaptation,
Training and Validation . 59
Annex I: Void . 61
Annex J: Summary of Czech samples not used for model training . 62
J.0 Introduction . 62
J.1 Selection process - Czech database . 62
J.2 General differences between the databases . 64
J.3 Comparison of the objective method results for Czech and French samples . 67
J.4 Czech conditions results analysis . 72
J.4.1 Comparing subjective and objective N-MOS results . 72
J.4.2 Comparing subjective and objective S-MOS results . 72
J.4.3 Comparing Subjective and Objective G-MOS Results. 73
J.5 Language Dependent Robustness of G-MOS. 74
J.6 Regression Coefficients for Czech data . 75
J.7 Post selection . 76
Annex K: Relative Approach Non-Linear Transformation . 80
Annex L: Bibliography . 81
History . 82

ETSI

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5 Final draft ETSI EG 202 396-3 V1.7.1 (2018-03)
Intellectual Property Rights
Essential patents
IPRs essential or potentially essential to normative deliverables may have been declared to ETSI. The information
pertaining to these essential IPRs, if any, is publicly available for ETSI members and non-members, and can be found
in ETSI SR 000 314: "Intellectual Property Rights (IPRs); Essential, or potentially Essential, IPRs notified to ETSI in
respect of ETSI standards", which is available from the ETSI Secretariat. Latest updates are available on the ETSI Web
server (https://ipr.etsi.org/).
Pursuant to the ETSI IPR Policy, no investigation, including IPR searches, has been carried out by ETSI. No guarantee
can be given as to the existence of other IPRs not referenced in ETSI SR 000 314 (or the updates on the ETSI Web
server) which are, or may be, or may become, essential to the present document.
Trademarks
The present document may include trademarks and/or tradenames which are asserted and/or registered by their owners.
ETSI claims no ownership of these except for any which are indicated as being the property of ETSI, and conveys no
right to use or reproduce any trademark and/or tradename. Mention of those trademarks in the present document does
not constitute an endorsement by ETSI of products, services or organizations associated with those trademarks.
Foreword
This final draft ETSI Guide (EG) has been produced by ETSI Technical Committee Speech and multimedia
Transmission Quality (STQ), and is now submitted for the ETSI standards Membership Approval Procedure.
The present document is a deliverable of ETSI Specialized Task Force (STF) 294 entitled: "Improving the quality of
eEurope wideband speech applications by developing a performance testing and evaluation methodology for
background noise transmission".
The present document is part 3 of a multi-part deliverable covering Speech and multimedia Transmission Quality
(STQ); Speech Quality performance in the presence of background noise, as identified below:
Part 1: "Background noise simulation technique and background noise database";
Part 2: "Background noise transmission - Network simulation - Subjective test database and results";
Part 3: "Background noise transmission - Objective test methods".
Modal verbs terminology
In the present document "should", "should not", "may", "need not", "will", "will not", "can" and "cannot" are to be
interpreted as described in clause 3.2 of the ETSI Drafting Rules (Verbal forms for the expression of provisions).
"must" and "must not" are NOT allowed in ETSI deliverables except when used in direct citation.
ETSI

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6 Final draft ETSI EG 202 396-3 V1.7.1 (2018-03)
1 Scope
The present document aims to identify and define testing methodologies which can be used to objectively evaluate the
performance of narrowband and wideband terminals and systems for speech communication in the presence of
background noise.
Background noise is a problem in mostly all situations and conditions and need to be taken into account in both,
terminals and networks. The present document provides information about the testing methods applicable to objectively
evaluate the speech quality in the presence of background noise. The present document includes:
• The description of the experts post evaluation process chosen to select the subjective test data being within the
scope of the objective methods.
• The results of the performance evaluation of the currently existing methods described in Recommendations
ITU-T P.862 [i.16] and P.862.1 [i.17] and in TOSQA2001 [i.19] which is chosen for the evaluation of
terminals in the framework of ETSI VoIP speech quality test events [i.8], [i.9], [i.10] and [i.11].
• The method which is applicable to objectively determine the different parameters influencing the speech
quality in the presence of background noise taking into account:
- the speech quality;
- the background noise transmission quality;
- the overall quality.
• The present document is to be used in conjunction with:
- ETSI ES 202 396-1 [i.1] which describes a recording and reproduction setup for realistic simulation of
background noise scenarios in lab-type environments for the performance evaluation of terminals and
communication systems.
- ETSI EG 202 396-2 [i.2] which describes the simulation of network impairments and how to simulate
realistic transmission network scenarios and which contains the methodology and results of the
subjective scoring for the data forming the basis of the present document.
- French speech sentences as defined in Recommendation ITU-T P.501 [i.13] for wideband and English
speech sentences as defined in Recommendation ITU-T P.501 [i.13] for narrowband.
2 References
2.1 Normative references
Normative references are not applicable in the present document.
2.2 Informative references
References are either specific (identified by date of publication and/or edition number or version number) or
non-specific. For specific references, only the cited version applies. For non-specific references, the latest version of the
referenced document (including any amendments) applies.
NOTE: While any hyperlinks included in this clause were valid at the time of publication, ETSI cannot guarantee
their long term validity.
The following referenced documents are not necessary for the application of the present document but they assist the
user with regard to a particular subject area.
[i.1] ETSI ES 202 396-1: "Speech and multimedia Transmission Quality (STQ); Speech quality
performance in the presence of background noise; Part 1: Background noise simulation technique
and background noise database".
ETSI

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7 Final draft ETSI EG 202 396-3 V1.7.1 (2018-03)
[i.2] ETSI EG 202 396-2: "Speech Processing, Transmission and Quality Aspects (STQ); Speech
Quality performance in the presence of background noise; Part 2: Background Noise Transmission
- Network Simulation - Subjective Test Database and Results".
[i.3] Recommendation ITU-T P.835: "Subjective test methodology for evaluating speech
communication systems that include noise suppression algorithm".
[i.4] Recommendation ITU-T P.800: "Methods for subjective determination of transmission quality".
[i.5] Recommendation ITU-T P.831: "Subjective performance evaluation of network echo cancellers".
[i.6] Genuit, K.: "Objective Evaluation of Acoustic Quality Based on a Relative Approach", InterNoise
'96, Liverpool, UK.
[i.7] Recommendation ITU-T SG 12 Contribution 34: "Evaluation of the quality of background noise
transmission using the "Relative Approach"".
[i.8] ETSI 2nd Speech Quality Test Event: "Anonymized Test Report", ETSI Plugtests, HEAD
acoustics, T-Systems Nova.
NOTE: Available at http://www.etsi.org/WebSite/OurServices/Plugtests/History.aspx. Also available as ETSI
TR 102 648-3.
[i.9] ETSI 3rd Speech Quality Test Event: "Anonymized Test Report "IP Gateways".
NOTE: Available at http://www.etsi.org/WebSite/OurServices/Plugtests/History.aspx.
[i.10] ETSI 3rd Speech Quality Test Event: "Anonymized Test Report "IP Phones".
[i.11] ETSI 4th Speech Quality Test Event: "Anonymized Test Report "IP Gateways and IP Phones".
NOTE: Available at http://www.etsi.org/WebSite/OurServices/Plugtests/History.aspx.
[i.12] F. Kettler, H.W. Gierlich, F. Rosenberger: "Application of the Relative Approach to Optimize
Packet Loss Concealment Implementations", DAGA, March 2003, Aachen, Germany.
[i.13] Recommendation ITU-T P.501: "Test Signals for Use in Telephonometry".
[i.14] R. Sottek, K. Genuit: "Models of Signal Processing in human hearing", International Journal of
Electronics and Communications (AEÜ) volume 59, 2005, p. 157-165.
NOTE: Available at http://www.elsevier.de/aeue.
[i.15] SAE International - Document 2005-01-2513: "Tools and Methods for Product Sound Design of
Vehicles" R. Sottek, W. Krebber, G. Stanley.
[i.16] Recommendation ITU-T P.862: "Perceptual evaluation of speech quality (PESQ): An objective
method for end-to-end speech quality assessment of narrowband telephone networks and speech
codecs".
[i.17] Recommendation ITU-T P.862.1: "Mapping function for transforming P.862 raw result scores to
MOS-LQO".
[i.18] Recommendation ITU-T P.862.2: "Wideband extension to Recommendation P.862 for the
assessment of wideband telephone networks and speech codecs".
[i.19] Recommendation ITU-T SG 12 Contribution 19: "Results of objective speech quality assessment
of wideband speech using the Advanced TOSQA2001".
[i.20] Recommendation ITU-T G.722: "7 kHz audio-coding within 64 kbit/s".
[i.21] Recommendation ITU-T G.722.2: "Wideband coding of speech at around 16 kbit/s using Adaptive
Multi-Rate Wideband (AMR-WB)".
[i.22] Recommendation ITU-T P.56: "Objective measurement of active speech level".
[i.23] Recommendation ITU-T P.57: "Artificial ears".
ETSI

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8 Final draft ETSI EG 202 396-3 V1.7.1 (2018-03)
[i.24] M. Spiegel: "Theory and problems of statistics", McGraw Hill, 1998.
[i.25] Void.
[i.26] M. Kendall: "Rank correlation methods", Charles Griffin & Company Limited, 1948.
[i.27] Sottek, R.: "Modelle zur Signalverarbeitung im menschlichen Gehör", PHD thesis RWTH Aachen,
1993.
[i.28] Recommendation ITU-T P.830: "Subjective performance assessment of telephone-band and
wideband digital codecs".
[i.29] Void.
[i.30] ANSI S1.1-1986 (ASA 65-1986): "Specifications for Octave-Band and Fractional-Octave-Band
Analog and Digital Filters", 1993.
[i.31] Recommendation ITU-T G.160 Appendix II, Amendment 2: "Voice enhancement devices:
Revised Appendix II - Objective measures for the characterization of the basic functioning of
noise reduction algorithms".
[i.32] ETSI TS 103 106: "Speech and multimedia Transmission Quality (STQ); Speech quality
performance in the presence of background noise: Background noise transmission for mobile
terminals-objective test methods".
[i.33] Hastie T.; Tibshirani R. and Friedman J.: "The Elements of Statistical Learning: Data Mining,
Inference, and Prediction", New York: Springer-Verlag, 2001.
[i.34] ETSI EG 202 396-3 (V1.1.1 to V1.3.1): "Speech Processing, Transmission and Quality Aspects
(STQ); Speech Quality performance in the presence of background noise; Part 3: Background
noise transmission - Objective test methods".
3 Symbols and abbreviations
3.1 Symbols
For the purposes of the present document, the following symbols apply:
2
σ Variance
3.2 Abbreviations
For the purposes of the present document, the following abbreviations apply:
AMR Adaptive MultiRate
ASL Active Speech Level
NOTE: According to Recommendation ITU-T P.56 [i.22].
BGN BackGround Noise
CDF Cumulative Density Function
dB SPL Sound Pressure Level re 20 µPa in dB
DB Data Base
DUT Device Under Test
EFR Enhance Full Rate
FR Full Rate
G-MOS Global MOS
NOTE: MOS related to the overall sample.
GSM Global System for Mobile Communication
ETSI

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9 Final draft ETSI EG 202 396-3 V1.7.1 (2018-03)
HATS Head And Torso Simulator
HiQ High Quality (codec mode)
IP Internet Protocol
IRS Intermediate Reference System
ITU International Telecommunication Union
ITU-T Telecom Standardization Body of ITU
LQ Low Quality (codec mode)
MMSE Minimum Mean Square Error
MOS Mean Opinion Score
MOS-LQSN Mean Opinion Score - Listening Quality Subjective Noise
MRP Mouth Reference Point
NB NarrowBand
NBGN Level of background noise
NI Network I conditions
NII Network II conditions
NIII Network III conditions
N-MOS Noise MOS
NOTE: MOS related to the noise transmission only.
NR Noise Reduction
NR (filter) Noise Reduction (filter)
NSA Noise Suppression Algorithm
PESQ Perceptual Evaluation of Speech Quality
PLC Packet Loss Concealment
RCV ReCeiVe
RMS Root Mean Square
RMSE Random Mean Square Error
SG Study Group
S-MOS Speech MOS
NOTE: MOS related to the speech signal only.
SND Sending Direction
SNR Signal to Noise Ratio
SQTE Speech Quality Test Event
SPL Sound Pressure Level
STD STandard Deviation
STF Specialized Task Force
TMOS TOSQA Mean Opinion Score
TOR Terms Of Reference
VAD Voice Activity Detection
VoIP Voice over IP
WB WideBand
4 Speech signals to be used
As with any objective model, the prediction of speech quality depends on the conditions under which the model was
tested and validated (see clauses 6.1 and 8). This dependency also applies to the speech material used in conjunction
with the objective model.
The wideband version of the model uses French speech sentences. The near end speech signal (clean speech signal)
consists of 8 sentences of speech (2 male and 2 female talkers, 2 sentences each). Appropriate speech samples can be
taken from Recommendation ITU-T P.501 [i.13].
The narrowband version of the model uses English speech sentences. The near end speech signal (clean speech signal)
consists of 8 sentences of speech (2 male and 2 female talkers, 2 sentences each). Appropriate speech samples can be
taken from Recommendation ITU-T P.501 [i.13].
ETSI

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10 Final draft ETSI EG 202 396-3 V1.7.1 (2018-03)
5 Selection of the data within the scope of the
wideband objective model: Experts evaluation
5.1 Selection process
The aim of the selection process was to identify those data in the databases described in ETSI EG 202 396-2 [i.2] which
are consistent with the scope of the objective models to be studied within the present document.
The experts were selected on the based on the definition found in e.g. Recommendation ITU-T P.831 [i.5]: experts are
experienced in subjective testing. Experts are able to describe an auditory event in detail and are able to separate
different events based on specific impairments. They are able to describe their subjective impressions in detail. They
have a background in technical implementations of noise reduction systems and transmission impairments and do have
detailed knowledge of the influence of particular implementations on subjective quality.
Their task was to select the relevant conditions within the scope of the model to be developed. Therefore they had to
verify the consistency of the data with respect to the following selection criteria:
1) Artefacts others than the ones which should have been produced by the signal processing described in ETSI
EG 202 396-2 [i.2] e.g. due to the additional amplification required in order to provide a listening level of
79 dB SPL.
2) Inconsistencies within one condition due to the selection of the individual speech samples from the database
for subjective evaluation.
3) Inconsistencies within one condition due to statistical variation of the signal processing described in ETSI
EG 202 396-2 [i.2] leading to non consistent judgements within this condition.
4) Inconsistencies due to Recommendation ITU-T P.56 [i.22] level adjustment process chosen for the complete
files including the background noise.
As a result of the experts listening test a set of data was selected which is used for the development of the objective
model.
In the selection process five expert listeners (non-native French speakers) were involved. Their task was not to produce
new judgements, but to check all the samples in the database with respect to the possible artefacts described above.
A playback system with calibrated headphones was used for the test. The equalization provided by the headphone
manufacturer was used since this was the one used in the auditory French test setup.
NOTE: These headphones and headphone amplifiers were used in the tests since they provide the performance
required. Other products providing the equivalent performance could be used if such an experiment
should be repeated by others. This information is given for th
...

SLOVENSKI STANDARD
SIST- V ETSI/EG 202 396-3 V1.7.1:2019
01-april-2019
.DNRYRVWSUHQRVDJRYRUDLQYHþSUHGVWDYQLKYVHELQ 674 .DNRYRVWJRYRUDY
SULVRWQRVWLãXPDR]DGMDGHO3UHQRVãXPDR]DGMD2EMHNWLYQHSUHVNXVQH
PHWRGH
Speech and multimedia Transmission Quality (STQ) - Speech Quality performance in the
presence of background noise - Part 3: Background noise transmission - Objective test
methods
Ta slovenski standard je istoveten z: ETSI EG 202 396-3 V1.7.1 (2018-05)
ICS:
33.040.35 Telefonska omrežja Telephone networks
SIST- V ETSI/EG 202 396-3 V1.7.1:2019 en
2003-01.Slovenski inštitut za standardizacijo. Razmnoževanje celote ali delov tega standarda ni dovoljeno.

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SIST- V ETSI/EG 202 396-3 V1.7.1:2019

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SIST- V ETSI/EG 202 396-3 V1.7.1:2019
ETSI EG 202 396-3 V1.7.1 (2018-03)






ETSI GUIDE
Speech and multimedia Transmission Quality (STQ);
Speech Quality performance
in the presence of background noise;
Part 3: Background noise transmission -
Objective test methods

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2 ETSI EG 202 396-3 V1.7.1 (2018-03)



Reference
REG/STQ-270
Keywords
noise, QoS, quality, speech
ETSI
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Tel.: +33 4 92 94 42 00  Fax: +33 4 93 65 47 16

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All rights reserved.

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ETSI

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3 ETSI EG 202 396-3 V1.7.1 (2018-03)
Contents
Intellectual Property Rights . 5
Foreword . 5
Modal verbs terminology . 5
1 Scope . 6
2 References . 6
2.1 Normative references . 6
2.2 Informative references . 6
3 Symbols and abbreviations . 8
3.1 Symbols . 8
3.2 Abbreviations . 8
4 Speech signals to be used . 9
5 Selection of the data within the scope of the wideband objective model: Experts evaluation . 10
5.1 Selection process . 10
5.2 Results . 10
5.3 French database . 11
6 Description of the wideband objective test method . 11
6.1 Introduction . 11
6.2 Speech sample preparation and nomenclature . 12
6.2.1 Speech sample preparation . 12
6.2.2 Nomenclature . 15
6.3 Additional Training data . 16
6.4 Principles of Relative Approach and Δ Relative Approach . 16
6.5 Objective N-MOS. 19
6.5.1 Introduction. 19
6.5.2 Description of N-MOS algorithm . 20
6.5.3 Comparing subjective and objective N-MOS results . 23
6.6 Objective S-MOS . 24
6.6.1 Introduction. 24
6.6.2 Description of S-MOS Algorithm . 25
6.6.3 Comparing Subjective and Objective S-MOS Results . 28
6.7 Objective G-MOS. 29
6.7.1 Description of G-MOS Algorithm . 29
6.7.2 Comparing subjective and objective G-MOS results . 30
7 Validation of the Wideband Objective Test Method . 31
7.1 Introduction . 31
7.2 ETSI EG 202 396-2 Database Results Analysis . 33
7.2.1 Comparing subjective and objective N-MOS results . 33
7.2.2 Comparing subjective and objective S-MOS results . 33
7.2.3 Comparing Subjective and Objective G-MOS Results . 34
7.3 Orange Validation Database results Analysed . 35
7.3.0 Introduction. 35
7.3.1 Comparing subjective and objective N-MOS results . 35
7.3.2 Comparing subjective and objective S-MOS results . 35
7.3.3 Comparing Subjective and Objective G-MOS Results . 36
8 Objective Model for Narrowband Applications . 37
8.0 Introduction . 37
8.1 File pre-processing . 37
8.2 Adaptation of the Calculations . 38
8.3 Prediction results . 38
Annex A: Detailed post evaluation of listening test results . 40
ETSI

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4 ETSI EG 202 396-3 V1.7.1 (2018-03)
Annex B: Results of PESQ and TOSQA2001 - Analysis of ETSI EG 202 396-2 database . 43
Annex C: Comparison of objective MOS versus auditory MOS for the complete STF 294
database . 50
Annex D: Comparison of objective MOS versus auditory MOS for rejected conditions . 52
Annex E: Void . 54
Annex F: Detailed STF 294 subjective and objective validation test results . 55
Annex G: Void . 58
Annex H: Extension of the Speech Quality Test Method to Narrowband: Adaptation,
Training and Validation . 59
Annex I: Void . 61
Annex J: Summary of Czech samples not used for model training . 62
J.0 Introduction . 62
J.1 Selection process - Czech database . 62
J.2 General differences between the databases . 64
J.3 Comparison of the objective method results for Czech and French samples . 67
J.4 Czech conditions results analysis . 72
J.4.1 Comparing subjective and objective N-MOS results . 72
J.4.2 Comparing subjective and objective S-MOS results . 72
J.4.3 Comparing Subjective and Objective G-MOS Results. 73
J.5 Language Dependent Robustness of G-MOS. 74
J.6 Regression Coefficients for Czech data . 75
J.7 Post selection . 76
Annex K: Relative Approach Non-Linear Transformation . 80
Annex L: Bibliography . 81
History . 82

ETSI

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5 ETSI EG 202 396-3 V1.7.1 (2018-03)
Intellectual Property Rights
Essential patents
IPRs essential or potentially essential to normative deliverables may have been declared to ETSI. The information
pertaining to these essential IPRs, if any, is publicly available for ETSI members and non-members, and can be found
in ETSI SR 000 314: "Intellectual Property Rights (IPRs); Essential, or potentially Essential, IPRs notified to ETSI in
respect of ETSI standards", which is available from the ETSI Secretariat. Latest updates are available on the ETSI Web
server (https://ipr.etsi.org/).
Pursuant to the ETSI IPR Policy, no investigation, including IPR searches, has been carried out by ETSI. No guarantee
can be given as to the existence of other IPRs not referenced in ETSI SR 000 314 (or the updates on the ETSI Web
server) which are, or may be, or may become, essential to the present document.
Trademarks
The present document may include trademarks and/or tradenames which are asserted and/or registered by their owners.
ETSI claims no ownership of these except for any which are indicated as being the property of ETSI, and conveys no
right to use or reproduce any trademark and/or tradename. Mention of those trademarks in the present document does
not constitute an endorsement by ETSI of products, services or organizations associated with those trademarks.
Foreword
This ETSI Guide (EG) has been produced by ETSI Technical Committee Speech and multimedia Transmission Quality
(STQ).
The present document is a deliverable of ETSI Specialized Task Force (STF) 294 entitled: "Improving the quality of
eEurope wideband speech applications by developing a performance testing and evaluation methodology for
background noise transmission".
The present document is part 3 of a multi-part deliverable covering Speech and multimedia Transmission Quality
(STQ); Speech Quality performance in the presence of background noise, as identified below:
Part 1: "Background noise simulation technique and background noise database";
Part 2: "Background noise transmission - Network simulation - Subjective test database and results";
Part 3: "Background noise transmission - Objective test methods".
Modal verbs terminology
In the present document "should", "should not", "may", "need not", "will", "will not", "can" and "cannot" are to be
interpreted as described in clause 3.2 of the ETSI Drafting Rules (Verbal forms for the expression of provisions).
"must" and "must not" are NOT allowed in ETSI deliverables except when used in direct citation.
ETSI

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6 ETSI EG 202 396-3 V1.7.1 (2018-03)
1 Scope
The present document aims to identify and define testing methodologies which can be used to objectively evaluate the
performance of narrowband and wideband terminals and systems for speech communication in the presence of
background noise.
Background noise is a problem in mostly all situations and conditions and need to be taken into account in both,
terminals and networks. The present document provides information about the testing methods applicable to objectively
evaluate the speech quality in the presence of background noise. The present document includes:
• The description of the experts post evaluation process chosen to select the subjective test data being within the
scope of the objective methods.
• The results of the performance evaluation of the currently existing methods described in Recommendations
ITU-T P.862 [i.16] and P.862.1 [i.17] and in TOSQA2001 [i.19] which is chosen for the evaluation of
terminals in the framework of ETSI VoIP speech quality test events [i.8], [i.9], [i.10] and [i.11].
• The method which is applicable to objectively determine the different parameters influencing the speech
quality in the presence of background noise taking into account:
- the speech quality;
- the background noise transmission quality;
- the overall quality.
• The present document is to be used in conjunction with:
- ETSI ES 202 396-1 [i.1] which describes a recording and reproduction setup for realistic simulation of
background noise scenarios in lab-type environments for the performance evaluation of terminals and
communication systems.
- ETSI EG 202 396-2 [i.2] which describes the simulation of network impairments and how to simulate
realistic transmission network scenarios and which contains the methodology and results of the
subjective scoring for the data forming the basis of the present document.
- French speech sentences as defined in Recommendation ITU-T P.501 [i.13] for wideband and English
speech sentences as defined in Recommendation ITU-T P.501 [i.13] for narrowband.
2 References
2.1 Normative references
Normative references are not applicable in the present document.
2.2 Informative references
References are either specific (identified by date of publication and/or edition number or version number) or
non-specific. For specific references, only the cited version applies. For non-specific references, the latest version of the
referenced document (including any amendments) applies.
NOTE: While any hyperlinks included in this clause were valid at the time of publication, ETSI cannot guarantee
their long term validity.
The following referenced documents are not necessary for the application of the present document but they assist the
user with regard to a particular subject area.
[i.1] ETSI ES 202 396-1: "Speech and multimedia Transmission Quality (STQ); Speech quality
performance in the presence of background noise; Part 1: Background noise simulation technique
and background noise database".
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[i.2] ETSI EG 202 396-2: "Speech Processing, Transmission and Quality Aspects (STQ); Speech
Quality performance in the presence of background noise; Part 2: Background Noise Transmission
- Network Simulation - Subjective Test Database and Results".
[i.3] Recommendation ITU-T P.835: "Subjective test methodology for evaluating speech
communication systems that include noise suppression algorithm".
[i.4] Recommendation ITU-T P.800: "Methods for subjective determination of transmission quality".
[i.5] Recommendation ITU-T P.831: "Subjective performance evaluation of network echo cancellers".
[i.6] Genuit, K.: "Objective Evaluation of Acoustic Quality Based on a Relative Approach", InterNoise
'96, Liverpool, UK.
[i.7] Recommendation ITU-T SG 12 Contribution 34: "Evaluation of the quality of background noise
transmission using the "Relative Approach"".
[i.8] ETSI 2nd Speech Quality Test Event: "Anonymized Test Report", ETSI Plugtests, HEAD
acoustics, T-Systems Nova.
NOTE: Available at http://www.etsi.org/WebSite/OurServices/Plugtests/History.aspx. Also available as ETSI
TR 102 648-3.
[i.9] ETSI 3rd Speech Quality Test Event: "Anonymized Test Report "IP Gateways".
NOTE: Available at http://www.etsi.org/WebSite/OurServices/Plugtests/History.aspx.
[i.10] ETSI 3rd Speech Quality Test Event: "Anonymized Test Report "IP Phones".
[i.11] ETSI 4th Speech Quality Test Event: "Anonymized Test Report "IP Gateways and IP Phones".
NOTE: Available at http://www.etsi.org/WebSite/OurServices/Plugtests/History.aspx.
[i.12] F. Kettler, H.W. Gierlich, F. Rosenberger: "Application of the Relative Approach to Optimize
Packet Loss Concealment Implementations", DAGA, March 2003, Aachen, Germany.
[i.13] Recommendation ITU-T P.501: "Test Signals for Use in Telephonometry".
[i.14] R. Sottek, K. Genuit: "Models of Signal Processing in human hearing", International Journal of
Electronics and Communications (AEÜ) volume 59, 2005, p. 157-165.
NOTE: Available at http://www.elsevier.de/aeue.
[i.15] SAE International - Document 2005-01-2513: "Tools and Methods for Product Sound Design of
Vehicles" R. Sottek, W. Krebber, G. Stanley.
[i.16] Recommendation ITU-T P.862: "Perceptual evaluation of speech quality (PESQ): An objective
method for end-to-end speech quality assessment of narrowband telephone networks and speech
codecs".
[i.17] Recommendation ITU-T P.862.1: "Mapping function for transforming P.862 raw result scores to
MOS-LQO".
[i.18] Recommendation ITU-T P.862.2: "Wideband extension to Recommendation P.862 for the
assessment of wideband telephone networks and speech codecs".
[i.19] Recommendation ITU-T SG 12 Contribution 19: "Results of objective speech quality assessment
of wideband speech using the Advanced TOSQA2001".
[i.20] Recommendation ITU-T G.722: "7 kHz audio-coding within 64 kbit/s".
[i.21] Recommendation ITU-T G.722.2: "Wideband coding of speech at around 16 kbit/s using Adaptive
Multi-Rate Wideband (AMR-WB)".
[i.22] Recommendation ITU-T P.56: "Objective measurement of active speech level".
[i.23] Recommendation ITU-T P.57: "Artificial ears".
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[i.24] M. Spiegel: "Theory and problems of statistics", McGraw Hill, 1998.
[i.25] Void.
[i.26] M. Kendall: "Rank correlation methods", Charles Griffin & Company Limited, 1948.
[i.27] Sottek, R.: "Modelle zur Signalverarbeitung im menschlichen Gehör", PHD thesis RWTH Aachen,
1993.
[i.28] Recommendation ITU-T P.830: "Subjective performance assessment of telephone-band and
wideband digital codecs".
[i.29] Void.
[i.30] ANSI S1.1-1986 (ASA 65-1986): "Specifications for Octave-Band and Fractional-Octave-Band
Analog and Digital Filters", 1993.
[i.31] Recommendation ITU-T G.160 Appendix II, Amendment 2: "Voice enhancement devices:
Revised Appendix II - Objective measures for the characterization of the basic functioning of
noise reduction algorithms".
[i.32] ETSI TS 103 106: "Speech and multimedia Transmission Quality (STQ); Speech quality
performance in the presence of background noise: Background noise transmission for mobile
terminals-objective test methods".
[i.33] Hastie T.; Tibshirani R. and Friedman J.: "The Elements of Statistical Learning: Data Mining,
Inference, and Prediction", New York: Springer-Verlag, 2001.
[i.34] ETSI EG 202 396-3 (V1.1.1 to V1.3.1): "Speech Processing, Transmission and Quality Aspects
(STQ); Speech Quality performance in the presence of background noise; Part 3: Background
noise transmission - Objective test methods".
3 Symbols and abbreviations
3.1 Symbols
For the purposes of the present document, the following symbols apply:
2
σ Variance
3.2 Abbreviations
For the purposes of the present document, the following abbreviations apply:
AMR Adaptive MultiRate
ASL Active Speech Level
NOTE: According to Recommendation ITU-T P.56 [i.22].
BGN BackGround Noise
CDF Cumulative Density Function
dB SPL Sound Pressure Level re 20 µPa in dB
DB Data Base
DUT Device Under Test
EFR Enhance Full Rate
FR Full Rate
G-MOS Global MOS
NOTE: MOS related to the overall sample.
GSM Global System for Mobile Communication
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HATS Head And Torso Simulator
HiQ High Quality (codec mode)
IP Internet Protocol
IRS Intermediate Reference System
ITU International Telecommunication Union
ITU-T Telecom Standardization Body of ITU
LQ Low Quality (codec mode)
MMSE Minimum Mean Square Error
MOS Mean Opinion Score
MOS-LQSN Mean Opinion Score - Listening Quality Subjective Noise
MRP Mouth Reference Point
NB NarrowBand
NBGN Level of background noise
NI Network I conditions
NII Network II conditions
NIII Network III conditions
N-MOS Noise MOS
NOTE: MOS related to the noise transmission only.
NR Noise Reduction
NR (filter) Noise Reduction (filter)
NSA Noise Suppression Algorithm
PESQ Perceptual Evaluation of Speech Quality
PLC Packet Loss Concealment
RCV ReCeiVe
RMS Root Mean Square
RMSE Random Mean Square Error
SG Study Group
S-MOS Speech MOS
NOTE: MOS related to the speech signal only.
SND Sending Direction
SNR Signal to Noise Ratio
SQTE Speech Quality Test Event
SPL Sound Pressure Level
STD STandard Deviation
STF Specialized Task Force
TMOS TOSQA Mean Opinion Score
TOR Terms Of Reference
VAD Voice Activity Detection
VoIP Voice over IP
WB WideBand
4 Speech signals to be used
As with any objective model, the prediction of speech quality depends on the conditions under which the model was
tested and validated (see clauses 6.1 and 8). This dependency also applies to the speech material used in conjunction
with the objective model.
The wideband version of the model uses French speech sentences. The near end speech signal (clean speech signal)
consists of 8 sentences of speech (2 male and 2 female talkers, 2 sentences each). Appropriate speech samples can be
taken from Recommendation ITU-T P.501 [i.13].
The narrowband version of the model uses English speech sentences. The near end speech signal (clean speech signal)
consists of 8 sentences of speech (2 male and 2 female talkers, 2 sentences each). Appropriate speech samples can be
taken from Recommendation ITU-T P.501 [i.13].
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5 Selection of the data within the scope of the
wideband objective model: Experts evaluation
5.1 Selection process
The aim of the selection process was to identify those data in the databases described in ETSI EG 202 396-2 [i.2] which
are consistent with the scope of the objective models to be studied within the present document.
The experts were selected on the based on the definition found in e.g. Recommendation ITU-T P.831 [i.5]: experts are
experienced in subjective testing. Experts are able to describe an auditory event in detail and are able to separate
different events based on specific impairments. They are able to describe their subjective impressions in detail. They
have a background in technical implementations of noise reduction systems and transmission impairments and do have
detailed knowledge of the influence of particular implementations on subjective quality.
Their task was to select the relevant conditions within the scope of the model to be developed. Therefore they had to
verify the consistency of the data with respect to the following selection criteria:
1) Artefacts others than the ones which should have been produced by the signal processing described in ETSI
EG 202 396-2 [i.2] e.g. due to the additional amplification required in order to provide a listening level of
79 dB SPL.
2) Inconsistencies within one condition due to the selection of the individual speech samples from the database
for subjective evaluation.
3) Inconsistencies within one condition due to statistical variation of the signal processing described in ETSI
...

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