F. Rumsey, "Sound Quality Evaluation," J. Audio Eng. Soc., vol. 58, no. 10, pp. 853-858, (2010 October.). doi:
F. Rumsey, "Sound Quality Evaluation," J. Audio Eng. Soc., vol. 58 Issue 10 pp. 853-858, (2010 October.). doi:
Abstract: [Feature] Perceptual models and computational predictions based on metrics are increasingly used to evaluate sound quality. An alternative might be to measure listeners’ brain waves to get a more objective view of their responses to different qualities of sound. Applications of these technologies in hearing aid design, room acoustics, and automotive audio were discussed in papers presented at the AES 38th International Conference.
@article{rumsey2010sound,
author={rumsey, francis},
journal={journal of the audio engineering society},
title={sound quality evaluation},
year={2010},
volume={58},
number={10},
pages={853-858},
doi={},
month={october},}
@article{rumsey2010sound,
author={rumsey, francis},
journal={journal of the audio engineering society},
title={sound quality evaluation},
year={2010},
volume={58},
number={10},
pages={853-858},
doi={},
month={october},
abstract={[feature] perceptual models and computational predictions based on metrics are increasingly used to evaluate sound quality. an alternative might be to measure listeners’ brain waves to get a more objective view of their responses to different qualities of sound. applications of these technologies in hearing aid design, room acoustics, and automotive audio were discussed in papers presented at the aes 38th international conference.},}
TY - feature
TI - Sound Quality Evaluation
SP - 853
EP - 858
AU - Rumsey, Francis
PY - 2010
JO - Journal of the Audio Engineering Society
IS - 10
VO - 58
VL - 58
Y1 - October 2010
TY - feature
TI - Sound Quality Evaluation
SP - 853
EP - 858
AU - Rumsey, Francis
PY - 2010
JO - Journal of the Audio Engineering Society
IS - 10
VO - 58
VL - 58
Y1 - October 2010
AB - [Feature] Perceptual models and computational predictions based on metrics are increasingly used to evaluate sound quality. An alternative might be to measure listeners’ brain waves to get a more objective view of their responses to different qualities of sound. Applications of these technologies in hearing aid design, room acoustics, and automotive audio were discussed in papers presented at the AES 38th International Conference.
[Feature] Perceptual models and computational predictions based on metrics are increasingly used to evaluate sound quality. An alternative might be to measure listeners’ brain waves to get a more objective view of their responses to different qualities of sound. Applications of these technologies in hearing aid design, room acoustics, and automotive audio were discussed in papers presented at the AES 38th International Conference.
