Perception of Modal Distribution Metrics in Critical Listening Spaces—Dependence on Room Aspect Ratios

Fazenda BM, Avis MR, Davies WJ. Perception of Modal Distribution Metrics in Critical Listening Spaces—Dependence on Room Aspect Ratios. J Audio Eng Soc. 2005;53(12):1128-1141. Available from: https://aes.org/publications/elibrary-page/?id=13402

@article{Fazenda2005_13402,
  author = {Fazenda, Bruno M. and Avis, Mark R. and Davies, William J.},
  title = {{Perception of Modal Distribution Metrics in Critical Listening Spaces—Dependence on Room Aspect Ratios}},
  journal = {Journal of the Audio Engineering Society},
  volume = {53},
  number = {12},
  pages = {1128--1141},
  year = {2005},
  month = dec,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=13402}
}

TY  - JOUR
TI  - Perception of Modal Distribution Metrics in Critical Listening Spaces—Dependence on Room Aspect Ratios
AU  - Fazenda, Bruno M.
AU  - Avis, Mark R.
AU  - Davies, William J.
T2  - Journal of the Audio Engineering Society
J2  - J. Audio Eng. Soc.
VL  - 53
IS  - 12
SP  - 1128
EP  - 1141
PY  - 2005
DA  - 2005/12/06
UR  - https://aes.org/publications/elibrary-page/?id=13402
PB  - Audio Engineering Society
LA  - en
AB  - The subjective significance of two general types of metrics used to describe the “quality” of a room based on its aspect ratio are compared. Tests were carried out to evaluate differences between three virtual rooms that score extreme classifications in each of the metrics. The results of the tests indicate that room aspect ratios do have some effect on the perception of the modal distribution, but the effect is very much dependent on the frequency content of the original signal. This indicates that a room that scores well using a certain metric may still suffer from problems if the frequency content of the driving signal matches one particularly strong modal artifact. More significantly, the results of these tests imply that attempts to rank critical listening spaces based on modal distribution metrics are likely to be highly misleading; and the derivation of difference limen, which would be required for useful comparison, has been shown in practice to be highly problematic and perhaps meaningless.
ER  -