THE AUDITORY MODELING TOOLBOX

Applies to version: 1.4.0

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ZIEGELWANGER2014 - Time of arrival estimates

Usage:

[Obj,results]=ziegelwanger2014(data,estimation,outlierDetection,model,p0_onaxis)

Input parameters:

Obj SOFA object
estimation

(optional) TOA estimation method:

[TOAest] pre-estimated TOAs

1 Built-in maximum detection

2 Built-in centroid of squared IR,

3 Built-in mean group delay,

4 Built-in maximum of the minimum-phase cross-correlation (default)

5 Built-in maxium detection after 3k-low-pass filtering (similar to Andreopoulou and Katz, 2017)

String (Experimental) Estimator from the 'itdestimator' function, requires further parameters

outlierDetection

(optional) detect outliers in estimated TOAs

0 off

1 on (default values: [0.05;0.01])

[alpha r] reject outliers using the extreme Studentized deviance test with the significance level of ALPHA and upper bound of outlier rate R

model

(optional) correct estimated toa, using geometrical TOA-Model

0 no model, just estimate the TOAs

1 (default) off-axis TOA modeled

2 on-axis TOA modeled

p0_onaxis (optional) startvalues for lsqcurvefit
lowpass (optional) bandwidth setting when used with the estimator from 'itdestimator' ('lp' for lowpass, 'bb' for broadband)
upper_cutfreq (optional) lowpass cutoff (Hz) when used with the estimator from 'itdestimator'
threshlvl (optional) threshold level (dB) when used with the 'Threshold' estimator from 'itdestimator'

Output parameters:

Obj SOFA Object
results

struct with fields

.toa: data matrix with time of arrival (TOA) for each impulse response (IR)

.p_onaxis: estimated on-axis model-parameters

.p_offaxis: estimated off-axis model-parameters

Description:

Estimates the Time-of-Arrival for each measurement in Obj (SOFA) and corrects the results with a geometrical model of the head.

Requirements:

  1. SOFA API from http://sourceforge.net/projects/sofacoustics for Matlab (in e.g. thirdparty/SOFA)
  2. Optimization Toolbox for Matlab

Examples:

To calculate the model parameters for the on-axis time-of-arrival model (p_onaxis) and for the off-axis time-of-arrival model (p_offaxis) for a given HRTF set (SOFA object, 'Obj') with the minimum-phase cross-correlation estimation, use:

[Obj,results]=ziegelwanger2014(Obj,4,1);

References:

H. Ziegelwanger and P. Majdak. Modeling the direction-continuous time-of-arrival in head-related transfer functions. J. Acoust. Soc. Am., 135:1278--1293, 2014.

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