H

higher-order-ambisonics

Supplementary materials (data + R analysis) for a perceptual comparison of 6DoF audio rendering algorithms for classical music in VR - 27 participants, localization accuracy + MUSHRA-like quality ratings, Gamma GLMM, LMM, auto-generated LaTeX statistics.

Reproducible Python pipeline for the AES 160 Convention paper "Zylia ZM-1 vs. Harpex Spcmic: A Case Study of Higher-Order Ambisonic Recording Performance" (Express Paper #51, Copenhagen 2026). Reads B-format WAV files, computes spectral, loudness, spatial-energy, and directional metrics, and emits LaTeX \newcommand macros for the manuscript.