{"references": ["Osses Vecchi, A., Kohlrausch, A., Lachenmayr, W., & Mommertz, E. (2017). Predicting the perceived reverberation in different room acoustic environments using a binaural model. J. Acoust. Soc. Am., 141(4), EL381-EL387. https://doi.org/10.1121/1.4979853", "Osses Vecchi, A. (2018). Prediction of perceptual similarity based on time-domain models of auditory perception. Ph.D. thesis. Technische Universiteit Eindhoven.", "S\u00f8ndergaard, P., & Majdak, P. (2013). The Auditory Modeling Toolbox. In J. Blauert (Ed.), The technology of binaural listening (pp. 33\u201356). Springer Berlin Heidelberg.", "van Dorp, J. (2011). Auditory modelling for assessing room acoustics. Ph.D. thesis. Technische Universiteit Delft.", "van Dorp, J., de Vries, D., & Lindau, A. (2013). Deriving content-specific measures of room acoustic perception using a binaural, nonlinear auditory model. J. Acoust. Soc. Am., 133(3), 1572\u20131585."]}

Release v1.0 of the Room Acoustic Analyser (RAA) model as used by Osses Vecchi et al. (2017). This binaural model can be used to obtain estimates of perceived reverberance (pRev) from sound stimuli. Some sounds samples are provided in the GIT repository. The model is implemented in MATLAB and requires the installation of the Auditory Modelling Toolbox (AMT) (Søndergaard, & Majdak, 2013). The model is based on van Dorp Schuitman (2011) and van Dorp Schuitman et al. (2013).