Application and Verfication of the Objective Quality Assessment Method According to ITU Recommendation Series ITU-T P.862
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A. Kurittu, J. Samela, A. Lakaniemi, V. Mattila, and N. Zacharov, "Application and Verfication of the Objective Quality Assessment Method According to ITU Recommendation Series ITU-T P.862," J. Audio Eng. Soc., vol. 54, no. 12, pp. 1189-1202, (2006 December.). doi:
A. Kurittu, J. Samela, A. Lakaniemi, V. Mattila, and N. Zacharov, "Application and Verfication of the Objective Quality Assessment Method According to ITU Recommendation Series ITU-T P.862," J. Audio Eng. Soc., vol. 54 Issue 12 pp. 1189-1202, (2006 December.). doi:
Abstract: [Engineering Report] Listening speech quality has for many years been considered a key means of evaluating speech quality in telecommunications systems. While traditionally listening tests have been used to study such characteristics, such as in the form of mean opinion scores (MOS), these methods are known to be quite cumbersome and slow. As a result a number of speech quality prediction algorithms have been developed and standardized over the last few years, allowing for estimation of the subjective speech quality based upon the physical characteristics of the speech signal. The most commonly used and standardized predictive algorithms are considered, namely, ITU-T recommendations P.862/P.862.1 and P.862.2. The prediction performance of these algorithms is evaluated under common testing conditions for both narrow- and wide-band speech signals. Applicability in the context of spectral aberration, time scaling, noise, and environmental noise is considered as well as the prediction of codec performance.
@article{kurittu2006application,
author={kurittu, antti and samela, juha and lakaniemi, ari and mattila, ville-veikko and zacharov, nick},
journal={journal of the audio engineering society},
title={application and verfication of the objective quality assessment method according to itu recommendation series itu-t p.862},
year={2006},
volume={54},
number={12},
pages={1189-1202},
doi={},
month={december},}
@article{kurittu2006application,
author={kurittu, antti and samela, juha and lakaniemi, ari and mattila, ville-veikko and zacharov, nick},
journal={journal of the audio engineering society},
title={application and verfication of the objective quality assessment method according to itu recommendation series itu-t p.862},
year={2006},
volume={54},
number={12},
pages={1189-1202},
doi={},
month={december},
abstract={[engineering report] listening speech quality has for many years been considered a key means of evaluating speech quality in telecommunications systems. while traditionally listening tests have been used to study such characteristics, such as in the form of mean opinion scores (mos), these methods are known to be quite cumbersome and slow. as a result a number of speech quality prediction algorithms have been developed and standardized over the last few years, allowing for estimation of the subjective speech quality based upon the physical characteristics of the speech signal. the most commonly used and standardized predictive algorithms are considered, namely, itu-t recommendations p.862/p.862.1 and p.862.2. the prediction performance of these algorithms is evaluated under common testing conditions for both narrow- and wide-band speech signals. applicability in the context of spectral aberration, time scaling, noise, and environmental noise is considered as well as the prediction of codec performance.},}
TY - paper
TI - Application and Verfication of the Objective Quality Assessment Method According to ITU Recommendation Series ITU-T P.862
SP - 1189
EP - 1202
AU - Kurittu, Antti
AU - Samela, Juha
AU - Lakaniemi, Ari
AU - Mattila, Ville-veikko
AU - Zacharov, Nick
PY - 2006
JO - Journal of the Audio Engineering Society
IS - 12
VO - 54
VL - 54
Y1 - December 2006
TY - paper
TI - Application and Verfication of the Objective Quality Assessment Method According to ITU Recommendation Series ITU-T P.862
SP - 1189
EP - 1202
AU - Kurittu, Antti
AU - Samela, Juha
AU - Lakaniemi, Ari
AU - Mattila, Ville-veikko
AU - Zacharov, Nick
PY - 2006
JO - Journal of the Audio Engineering Society
IS - 12
VO - 54
VL - 54
Y1 - December 2006
AB - [Engineering Report] Listening speech quality has for many years been considered a key means of evaluating speech quality in telecommunications systems. While traditionally listening tests have been used to study such characteristics, such as in the form of mean opinion scores (MOS), these methods are known to be quite cumbersome and slow. As a result a number of speech quality prediction algorithms have been developed and standardized over the last few years, allowing for estimation of the subjective speech quality based upon the physical characteristics of the speech signal. The most commonly used and standardized predictive algorithms are considered, namely, ITU-T recommendations P.862/P.862.1 and P.862.2. The prediction performance of these algorithms is evaluated under common testing conditions for both narrow- and wide-band speech signals. Applicability in the context of spectral aberration, time scaling, noise, and environmental noise is considered as well as the prediction of codec performance.
[Engineering Report] Listening speech quality has for many years been considered a key means of evaluating speech quality in telecommunications systems. While traditionally listening tests have been used to study such characteristics, such as in the form of mean opinion scores (MOS), these methods are known to be quite cumbersome and slow. As a result a number of speech quality prediction algorithms have been developed and standardized over the last few years, allowing for estimation of the subjective speech quality based upon the physical characteristics of the speech signal. The most commonly used and standardized predictive algorithms are considered, namely, ITU-T recommendations P.862/P.862.1 and P.862.2. The prediction performance of these algorithms is evaluated under common testing conditions for both narrow- and wide-band speech signals. Applicability in the context of spectral aberration, time scaling, noise, and environmental noise is considered as well as the prediction of codec performance.
Authors:
Kurittu, Antti; Samela, Juha; Lakaniemi, Ari; Mattila, Ville-veikko; Zacharov, Nick
Affiliations:
Nokia Networks, Helsinki, Finland; Nokia Corporation, Tampere, Finland; Nokia Research Center, Helsinki, Finland; Nokia Research Center, Tampere, Finland(See document for exact affiliation information.) JAES Volume 54 Issue 12 pp. 1189-1202; December 2006
Publication Date:
December 15, 2006Import into BibTeX
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