Application and Verfication of the Objective Quality Assessment Method According to ITU Recommendation Series ITU-T P.862

Kurittu A, Samela J, Lakaniemi A, Mattila VV, Zacharov N. Application and Verfication of the Objective Quality Assessment Method According to ITU Recommendation Series ITU-T P.862. J Audio Eng Soc. 2006;54(12):1189-1202. Available from: https://aes.org/publications/elibrary-page/?id=13895

@article{Kurittu2006_13895,
  author = {Kurittu, Antti and Samela, Juha and Lakaniemi, Ari and Mattila, Ville-veikko and Zacharov, Nick},
  title = {{Application and Verfication of the Objective Quality Assessment Method According to ITU Recommendation Series ITU-T P.862}},
  journal = {Journal of the Audio Engineering Society},
  volume = {54},
  number = {12},
  pages = {1189--1202},
  year = {2006},
  month = dec,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=13895}
}

TY  - JOUR
TI  - Application and Verfication of the Objective Quality Assessment Method According to ITU Recommendation Series ITU-T P.862
AU  - Kurittu, Antti
AU  - Samela, Juha
AU  - Lakaniemi, Ari
AU  - Mattila, Ville-veikko
AU  - Zacharov, Nick
T2  - Journal of the Audio Engineering Society
J2  - J. Audio Eng. Soc.
VL  - 54
IS  - 12
SP  - 1189
EP  - 1202
PY  - 2006
DA  - 2006/12/06
UR  - https://aes.org/publications/elibrary-page/?id=13895
PB  - Audio Engineering Society
LA  - en
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.
ER  -