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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 IEEE Access paper "A Seven-Year Higher-Order Ambisonics Recording Corpus" - corpus-wide figures (geography, timeline, room acoustics, loudness, session inventory), LaTeX-macro generation for every numeric claim, and the peer-review bootstrap uncertainty analysis for the microphone-comparison results.

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.