THE AUDITORY MODELING TOOLBOX

Applies to version: 1.0.0

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MCLACHLAN2021_FEATUREEXTRACTION - - extract HRTF using gammatone frequency bands and ITDs from SOFA object

Usage

[template, target] = mclachlan2021_featureextraction(SOFAobj)

Input parameters

SOFAtemplate Struct in SOFA format with HRTFs

Output parameters

template template struct with spectral components
target template struct with spectral components

Description

MCLACHLAN2021_FEATUREEXTRACTION(...) computes temporally integrated spectral magnitude profiles and itd.

MCLACHLAN2021_FEATUREEXTRACTION accepts the following optional parameters:

'source_ir',source_ir
 Set the sound source's impulse reponse. Default value a broadband sound source with 0dB amplitude.
'fs',fs Set the sampling rate to fs. Default value takes the fs of SOFA template object.
'fb_ch',fb_ch Set the number of channels for the gammatone filterbank to fb_ch. Default value is 30.
'fb_low',fb_low Set the lowest frequency in the filterbank to fb_low. Default value is 300 Hz.
'fb_high',fb_high Set the highest frequency in the filterbank to fhigh. Default value is 15000 Hz.
'ir_pad',len Define the padding length for the impulse responses before being convolved with gammatone filters. Default value is 0.05 s.
'targ_az',targ_az Set the azimuth of a set of sound sources to targ_el. It can be a scalar or a column vector Default value is []: all target azimuths are used. Must have the same size of targ_el.
'targ_el',targ_el Set the elevation of a set of sound sources to targ_el. It can be a scalar or a column vector Default value is []: all target elevations are used. Must have the same size of targ_az.

References:

r. barumerli, p. majdak, j. reijniers, r. baumgartner, m. geronazzo, and f. avanzini. predicting directional sound-localization of human listeners in both horizontal and vertical dimensions. journal of the audio engineering society, may 2020. [ DOI ]

J. Reijniers, D. Vanderleist, C. Jin, C. S., and H. Peremans. An ideal-observer model of human sound localization. Biological Cybernetics, 108:169--181, 2014.