EW-PESQ: A Quality Assessment Method for Speech Signals Sampled at 48 kHz

Bispo BC, Esquef PAA, Biscainho LWP, Lima AAD, Freeland FP, Jesus RAD, Said A, Lee B, Schafer RW, Kalker T. EW-PESQ: A Quality Assessment Method for Speech Signals Sampled at 48 kHz. J Audio Eng Soc. 2010;58(4):251-268. Available from: https://aes.org/publications/elibrary-page/?id=15252

@article{Bispo2010_15252,
  author = {Bispo, Bruno C. and Esquef, Paulo A. A. and Biscainho, Luiz W. P. and Lima, Amaro A. de and Freeland, Fabio P. and Jesus, Rafael A. de and Said, Amir and Lee, Bowon and Schafer, Ronald W. and Kalker, Ton},
  title = {{EW-PESQ: A Quality Assessment Method for Speech Signals Sampled at 48 kHz}},
  journal = {Journal of the Audio Engineering Society},
  volume = {58},
  number = {4},
  pages = {251--268},
  year = {2010},
  month = apr,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=15252}
}

TY  - JOUR
TI  - EW-PESQ: A Quality Assessment Method for Speech Signals Sampled at 48 kHz
AU  - Bispo, Bruno C.
AU  - Esquef, Paulo A. A.
AU  - Biscainho, Luiz W. P.
AU  - Lima, Amaro A. de
AU  - Freeland, Fabio P.
AU  - Jesus, Rafael A. de
AU  - Said, Amir
AU  - Lee, Bowon
AU  - Schafer, Ronald W.
AU  - Kalker, Ton
T2  - Journal of the Audio Engineering Society
J2  - J. Audio Eng. Soc.
VL  - 58
IS  - 4
SP  - 251
EP  - 268
PY  - 2010
DA  - 2010/04/06
UR  - https://aes.org/publications/elibrary-page/?id=15252
PB  - Audio Engineering Society
LA  - en
AB  - In order to broaden the utility of objective methods for perceptual evaluation of ultrawide-band (sampled at 48 kHz) speech, two extensions to the W-PESQ standard are proposed. In one approach the psychoacoustic model of W-PESQ is expanded to cover higher frequencies by means of data extrapolation. In the alternative method the psychoacoustic model is replaced with that of PEAQ. A performance analysis of both methods reveals that their predictions strongly correlate with measured mean opinion scores (MOS), bearing a cross-correlation coefficient around 97%. Tests used speech signals corrupted with white and broad-band environmental noises.
ER  -