Code

In this section, you will find an overview of the programming languages and libraries we utilize to bring our projects to life, with a particular focus on Python and its powerful capabilities. Our team extensively relies on Python for its versatility, readability, and robust support for scientific libraries. We employ a range of specialized libraries to work with audio files, perform Fast Fourier Transforms (FFT), and handle various aspects of spatial audio and Head-Related Transfer Functions (HRTF). Some of the key libraries we use include NumPy, SciPy, and librosa, among others.