Blind Estimation of the Reverberation Fingerprint of Unknown Acoustic Environments

Murgai P, Rau M, Jot JM. Blind Estimation of the Reverberation Fingerprint of Unknown Acoustic Environments. In: AES Convention 143. Audio Engineering Society; 2017. Paper 9905. Available from: https://aes.org/publications/elibrary-page/?id=19302

@inproceedings{Murgai2017_19302,
  author = {Murgai, Prateek and Rau, Mark and Jot, Jean-Marc},
  title = {{Blind Estimation of the Reverberation Fingerprint of Unknown Acoustic Environments}},
  booktitle = {AES Convention 143},
  note = {Paper 9905},
  year = {2017},
  month = oct,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=19302}
}

TY  - CPAPER
TI  - Blind Estimation of the Reverberation Fingerprint of Unknown Acoustic Environments
AU  - Murgai, Prateek
AU  - Rau, Mark
AU  - Jot, Jean-Marc
T2  - AES Convention 143
M1  - Paper 9905
PY  - 2017
DA  - 2017/10/06
UR  - https://aes.org/publications/elibrary-page/?id=19302
PB  - Audio Engineering Society
LA  - en
AB  - Methods for blind estimation of a room’s reverberation properties have been proposed for applications including speech dereverberation and audio forensics. In this paper, we study and evaluate algorithms for online estimation of a room’s “reverberation fingerprint”, defined by its volume and its frequency-dependent diffuse reverberation decay time. Both quantities are derived adaptively by analyzing a single-microphone reverberant signal recording, without access to acoustic source reference signals. The accuracy and convergence of the proposed techniques is evaluated experimentally against the ground truth obtained from geometric and impulse response measurements. The motivations of the present study include the development of improved headphone 3D audio rendering techniques for mobile computing devices.
ER  -