S. Goetze, E. Albertin, J. Rennies, E. A. P. Habets, and K.-D. Kammeyer, “Speech Quality Assessment for Listening-Room Compensation,” J. Audio Eng. Soc., vol. 62, no. 6, pp. 386–399, Jun. 2014, doi: 10.17743/jaes.2014.0025.
Goetze S, Albertin E, Rennies J, Habets EAP, Kammeyer KD. Speech Quality Assessment for Listening-Room Compensation. J Audio Eng Soc. 2014;62(6):386-399. doi:10.17743/jaes.2014.0025
@article{Goetze2014_17334,
author = {Goetze, Stefan and Albertin, Eugen and Rennies, Jan and Habets, Emanuël A.P. and Kammeyer, Karl-Dirk},
title = {{Speech Quality Assessment for Listening-Room Compensation}},
journal = {Journal of the Audio Engineering Society},
volume = {62},
number = {6},
pages = {386--399},
year = {2014},
month = jun,
publisher = {Audio Engineering Society},
doi = {10.17743/jaes.2014.0025},
url = {https://doi.org/10.17743/jaes.2014.0025}
}
TY - JOUR
TI - Speech Quality Assessment for Listening-Room Compensation
AU - Goetze, Stefan
AU - Albertin, Eugen
AU - Rennies, Jan
AU - Habets, Emanuël A.P.
AU - Kammeyer, Karl-Dirk
T2 - Journal of the Audio Engineering Society
J2 - J. Audio Eng. Soc.
VL - 62
IS - 6
SP - 386
EP - 399
PY - 2014
DA - 2014/06/06
DO - 10.17743/jaes.2014.0025
UR - https://doi.org/10.17743/jaes.2014.0025
PB - Audio Engineering Society
LA - en
AB - There is extensive research on listening-room compensation algorithms to remove the unwanted degradations of speech quality. Objective measures for quality assessment are required in order to evaluate such algorithms. They exist in two classes: reverberation-cancellation algorithms that equalize the room impulse response of the acoustic channel, and reverberation-suppression algorithms that remove the reverberant part of the speech signal by calculating the spectral weight for time-frequency coefficients. This paper focuses on evaluating the former. Algorithms are analyzed regarding their capability to assess reverberation, coloration, spectral distortion, perceived distance, and overall quality of the signals. An evaluation of the sound quality of the dereverberated signals is derived from subjective listening tests and then compared to objective measures.
ER -