The Modulation Filterbank (MFB) Model is a MATLAB toolbox offering a modular framework for setting up simple auditory models inspired by the work of Torsten Dau (PEMO model; Dau, Kollmeier & Kohlrausch, 1997) and Stefan Ewert (EPSM; Ewert, Dau, 2000). These models aim at predicting the processing of temporal and spectral cues by human listeners.
The code is openly available on Github.
Collaborators: Christian Lorenzi, Nicole Miller
Selected publications and presentations:
A general presentation of the toolbox « The Modulation Filterbank model, step-by-step presentation » (slides)
Description of the model, excerpt from Nicole Miller’s master’s thesis: NMiller_MFB
List of publications using the MFB model:
Cabrera, L., Varnet, L., Buss, E., Rosen, S., Lorenzi, C. (2019). Development of temporal auditory processing in childhood: Changes in efficiency rather than temporal-modulation selectivity. The Journal of the Acoustical Society of America, 146, 2415-2429. (article)
King, A., Varnet, L., Lorenzi, C. (2019). Accounting for masking of frequency modulation by amplitude modulation with the modulation filter-bank concept. The Journal of the Acoustical Society of America, 145, 2277-2293. (article)
Wallaert, N., Varnet, L., Moore, B. C. J., Lorenzi, C. (2018). Sensorineural hearing loss impairs sensitivity but spares temporal integration for detection of frequency modulation. The Journal of the Acoustical Society of America, 144, 720-733. (article)