Scene Inference from Audio

Arteaga D, García-Garzón D, Mateos T, Usher J. Scene Inference from Audio. In: AES Convention 134. Audio Engineering Society; 2013. Paper 8894. Available from: https://aes.org/publications/elibrary-page/?id=16794

@inproceedings{Arteaga2013_16794,
  author = {Arteaga, Daniel and García-Garzón, David and Mateos, Toni and Usher, John},
  title = {{Scene Inference from Audio}},
  booktitle = {AES Convention 134},
  note = {Paper 8894},
  year = {2013},
  month = may,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=16794}
}

TY  - CPAPER
TI  - Scene Inference from Audio
AU  - Arteaga, Daniel
AU  - García-Garzón, David
AU  - Mateos, Toni
AU  - Usher, John
T2  - AES Convention 134
M1  - Paper 8894
PY  - 2013
DA  - 2013/05/06
UR  - https://aes.org/publications/elibrary-page/?id=16794
PB  - Audio Engineering Society
LA  - en
AB  - We report on the development of a system to characterize the geometric and acoustic properties of a space from an acoustic impulse response measured within it. This can be thought of as the inverse problem to the common practice of obtaining impulse responses from either real-world or virtual spaces. Starting from an impulse response recorded in an original scene, the method described here uses a non-linear search strategy to select a scene that is perceptually as close as possible to the original one. Potential applications of this method include audio production, non-intrusive acquisition of room geometry, and audio forensics.
ER  -