Ears Audio Toolkit =link= | Official & Authentic

B_mn(t) = s(t) * Y_mn(θ, φ)

Since the paper describes an open-source implementation, the code is typically hosted on GitHub. You can usually find it by searching for or visiting the repository associated with the authors' lab (often associated with the University of Colorado Colorado Springs or similar institutions involved in AR research). ears audio toolkit

| Scenario | EARS pipeline | |----------|----------------| | Record with Eigenmike, play over headphones with head tracking | em32 → 3OA → HRTF (custom SOFA) + real-time SH rotation | | Simulate a moving source in a shoebox room | ISM (early) + FDN (late) → encode each image into ambisonics → binaural | | Convert 5.1 film mix to binaural for VR | 5.1 → upmix to 1OA → rotate to head orientation → binaural | | Design loudspeaker array for 2OA playback | Decoding matrix generation with mode-matching + Tikhonov regularization | B_mn(t) = s(t) * Y_mn(θ, φ) Since the

"EARS: A Dynamic Auralization Engine for Augmented Reality" with optional or basic energy preservation for in-phase

where Y_mn are real spherical harmonics (SN3D normalization).

with optional or basic energy preservation for in-phase rendering.