Perceptual Evaluation of Physical Predictors of the Mixing Time in Binaural Room Impulse Responses

Lindau A, Kosanke L, Weinzierl S. Perceptual Evaluation of Physical Predictors of the Mixing Time in Binaural Room Impulse Responses. In: AES Convention 128. Audio Engineering Society; 2010. Paper 8089. Available from: https://aes.org/publications/elibrary-page/?id=15386

@inproceedings{Lindau2010_15386,
  author = {Lindau, Alexander and Kosanke, Linda and Weinzierl, Stefan},
  title = {{Perceptual Evaluation of Physical Predictors of the Mixing Time in Binaural Room Impulse Responses}},
  booktitle = {AES Convention 128},
  note = {Paper 8089},
  year = {2010},
  month = may,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=15386}
}

TY  - CPAPER
TI  - Perceptual Evaluation of Physical Predictors of the Mixing Time in Binaural Room Impulse Responses
AU  - Lindau, Alexander
AU  - Kosanke, Linda
AU  - Weinzierl, Stefan
T2  - AES Convention 128
M1  - Paper 8089
PY  - 2010
DA  - 2010/05/06
UR  - https://aes.org/publications/elibrary-page/?id=15386
PB  - Audio Engineering Society
LA  - en
AB  - The mixing time of room impulse responses denotes the moment when the diffuse reverberation tail begins. A diffuse sound field can physically be defined by 1) equidistribution of acoustical energy and 2) a uniform acoustical energy flux over the complete solid angle. Accordingly, the perceptual mixing time is the moment when the diffuse tail cannot be distinguished from that of any other position in the room. This provides an opportunity for reducing the length of binaural impulse responses that are dynamically exchanged in virtual acoustic environments (VAEs). Numerous model parameters and empirical features for the prediction of perceptual mixing time in rooms have been proposed. This study aims at a perceptual evaluation of all potential estimators. Therefore, binaural impulse response data sets were collected with an adjustable head and torso simulator for a representative sample of rectangularly shaped rooms. Prediction performance was evaluated by linear regression using results of a listening test where mixing times could be adaptively altered in real time to determine a just audible transition time into a homogeneous diffuse tail. Regression formulae for the perceptual mixing time are presented, conveniently predicting perceptive mixing times to be used in the context of VAEs.
ER  -