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Synthesis of individualized HRTFs based on Neural Networks, Principal Component Analysis and anthropometry

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EAC - Individualized HRTF Synthesis

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Synthesis of individualized HRTFs based on Neural Networks, Principal Component Analysis and anthropometry.

This repository was developed as part of a bachelor thesis project for Acoustic Engineering (EAC) @ Federal University of Santa Maria - Brazil.

The thesis can be found here

Individualized HRTF app

MATLAB app that can be used to generate individualized HRTFs with SOFA or HeSuVi extensions, using the proposed model.

Auraliza app

MATLAB app to create real-time virtual auditory scenes using SOFA SimpleFreeField HRTFs and n-channel audio inputs.

Latest updates for this app can be found here

Main - (PCA based)

Contains the pre-processing and post-processing, regression model and HRTF reconstruction routines.

It may be necessary to ajust paths for your local directories.

Functions

Toolbox to work with SOFA HRTFs and general functions used by the main routines.