miccio-dk/itsadive_hybrid_structural_model
A structural model for HRTF individualization combining measured, synthesized, and selected components.
This project helps audio engineers, VR/AR developers, and spatial audio researchers create highly personalized Head-Related Transfer Functions (HRTFs). By taking a photo of a user's ear and a few body measurements, it generates a custom HRTF file (SOFA format) that accurately models how sound would reach that specific person's ears from different directions. This results in a more immersive and realistic 3D audio experience.
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Use this if you need to generate individualized HRTFs for a specific user to enhance the realism of spatial audio in virtual reality, augmented reality, or other auditory research applications.
Not ideal if you need a quick, generic HRTF for non-critical applications or if you are not able to collect specific anthropometric data and ear images from your users.
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22
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5
Language
Python
License
MIT
Category
Last pushed
Jan 15, 2023
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