Modulation Filterbank Model (MFB)

The Modulation Filterbank (MFB) Model is a MATLAB toolbox off ering 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.

Administrative details

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)