Methods for Blind Computational Estimation of Perceptual Attributes of Room Acoustics

Baskind A, Warusfel O. Methods for Blind Computational Estimation of Perceptual Attributes of Room Acoustics. In: AES Conference: 22nd International Conference: Virtual, Synthetic, and Entertainment Audio. Audio Engineering Society; 2002. Paper 000259. Available from: https://aes.org/publications/elibrary-page/?id=11124

@inproceedings{Baskind2002_11124,
  author = {Baskind, Alexis and Warusfel, Olivier},
  title = {{Methods for Blind Computational Estimation of Perceptual Attributes of Room Acoustics}},
  booktitle = {AES Conference: 22nd International Conference: Virtual, Synthetic, and Entertainment Audio},
  note = {Paper 000259},
  year = {2002},
  month = jun,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=11124}
}

TY  - CPAPER
TI  - Methods for Blind Computational Estimation of Perceptual Attributes of Room Acoustics
AU  - Baskind, Alexis
AU  - Warusfel, Olivier
T2  - AES Conference: 22nd International Conference: Virtual, Synthetic, and Entertainment Audio
M1  - Paper 000259
PY  - 2002
DA  - 2002/06/06
UR  - https://aes.org/publications/elibrary-page/?id=11124
PB  - Audio Engineering Society
LA  - en
AB  - Here is presented a set of signal processing methods, which aim at providing a low-level description of the room effect related to a recorded audio scene, in order to derive a perceptual characterization of its spatial features. The goal is to perform this analysis blindly, that is without any other information than the recording itself. Considering the respective nature of the early and the late contributions of the room effect, two distinct tools, acting on a monophonic signal, are proposed to estimate the relevant information of each contribution. Then, the estimations of the early parts of the responses are simultaneously processed by a coincidence detector, in order to derive the binaural cues of the sound scene.
ER  -