J. G. Beerends, A. P. Hekstra, A. W. Rix, and M. P. Hollier, “Perceptual Evaluation of Speech Quality (PESQ) The New ITU Standard for End-to-End Speech Quality Assessment Part II: Psychoacoustic Model,” J. Audio Eng. Soc., vol. 50, no. 10, pp. 765–778, Oct. 2002.
Beerends JG, Hekstra AP, Rix AW, Hollier MP. Perceptual Evaluation of Speech Quality (PESQ) The New ITU Standard for End-to-End Speech Quality Assessment Part II: Psychoacoustic Model. J Audio Eng Soc. 2002;50(10):765-778. Available from: https://aes.org/publications/elibrary-page/?id=11062
@article{Beerends2002_11062,
author = {Beerends, John G. and Hekstra, Andries P. and Rix, Antony W. and Hollier, Michael P.},
title = {{Perceptual Evaluation of Speech Quality (PESQ) The New ITU Standard for End-to-End Speech Quality Assessment Part II: Psychoacoustic Model}},
journal = {Journal of the Audio Engineering Society},
volume = {50},
number = {10},
pages = {765--778},
year = {2002},
month = oct,
publisher = {Audio Engineering Society},
url = {https://aes.org/publications/elibrary-page/?id=11062}
}
TY - JOUR
TI - Perceptual Evaluation of Speech Quality (PESQ) The New ITU Standard for End-to-End Speech Quality Assessment Part II: Psychoacoustic Model
AU - Beerends, John G.
AU - Hekstra, Andries P.
AU - Rix, Antony W.
AU - Hollier, Michael P.
T2 - Journal of the Audio Engineering Society
J2 - J. Audio Eng. Soc.
VL - 50
IS - 10
SP - 765
EP - 778
PY - 2002
DA - 2002/10/06
UR - https://aes.org/publications/elibrary-page/?id=11062
PB - Audio Engineering Society
LA - en
AB - A new model for the perceptual evaluation of speech quality (PESQ) was recently standardized by the International Telecommunications Union as Recommendation P.862. Unlike previous codec assessment models, such as PSQM and MNB (ITU-T P.861), PESQ is able to predict subjective quality with good correlation in a very wide range of conditions, which may include coding distortions, errors, noise, filtering, delay, and variable delay. The psychoacoustic model used in PESQ is introduced. Part I describes the time-delay identification technique that is used in combination with the PESQ psychoacoustic model to predict the end-to-end perceived speech quality.
ER -