THE AUDITORY MODELING TOOLBOX

Applies to version: 1.6.0

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SIG_HASSAGER2016
spectral smoothing algorithm from Hassager et al. (2016)

Usage:

y = sig_hassager2016(x,B,fs)

Input parameters:

x Binaural impulse responses. It can be a SOFA structure or a matrix with the size (time x direction x ear).
B Bandwidth factor relative to ERB.
fs Sampling rate (in Hz). Required only if x is a matrix.

Output parameters:

y Smoothed version of x.

Description:

sig_hassager2016(...) is an algortihm for spectral smoothing based on Gammatone filters with a variable bandwidth controlled by B.

References:

H. G. Hassager, F. Gran, and T. Dau. The role of spectral detail in the binaural transfer function on perceived externalization in a reverberant environment. The Journal of the Acoustical Society of America, 139(5):2992--3000, 2016. [ www: ]