LLADO2022
Neural network localization

Usage:

[y_est] = llado2022(ir);
[y_est] = llado2022(ir, stim);
[y_est] = llado2022(ir, stim, fs);
[y_est] = llado2022(ir, stim, fs, NN_pretrained);

Input parameters:

`ir`	Impulse responses. Size: (direction x time x ear).

Output parameters:

y_est

Perceived direction and position uncertainty.

Description:

LLADO2022(...) is a model for estimating the effect of head-worn devices on frontal horizontal localisation. A neural network (NN) was trained using binaural features of a dummy head wearing different head-worn devices to predict the data from a perceptual test using the same devices. If you want to use your own data, please find in the script 'demo_llado2022' the whole procedure.

Optional input parameters:

`'stim'`	stimulus. If empty, 250 ms of pink noise
`'fs'`	Sampling rate (in Hz). Default: 48000 Hz.
`'NN_pretrained'`	if empty, a pretrained NN is used.

To see details or to train a new NN, please see the script demo_llado2022

References:

Lladó, Pedro, Hyvärinen, Petteri, and Pulkki, Ville. Auditory model-based estimation of the effect of head-worn devices on frontal horizontal localisation. Acta Acust., 6:1, 2022. [ DOI ]