HRTF Model Using Decoupled Rear-Front and Elevation Cues and Applications

Faller C, Ebri M, Favrot A, Oliva A. HRTF Model Using Decoupled Rear-Front and Elevation Cues and Applications. In: Express Paper. Audio Engineering Society; 2024. Paper 232. Available from: https://aes.org/publications/elibrary-page/?id=22578

@inproceedings{Faller2024_22578,
  author = {Faller, Christof and Ebri, Michele and Favrot, Alexis and Oliva, Alfonso},
  title = {{HRTF Model Using Decoupled Rear-Front and Elevation Cues and Applications}},
  note = {Paper 232},
  year = {2024},
  month = jun,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=22578}
}

TY  - CPAPER
TI  - HRTF Model Using Decoupled Rear-Front and Elevation Cues and Applications
AU  - Faller, Christof
AU  - Ebri, Michele
AU  - Favrot, Alexis
AU  - Oliva, Alfonso
M1  - Paper 232
PY  - 2024
DA  - 2024/06/06
UR  - https://aes.org/publications/elibrary-page/?id=22578
PB  - Audio Engineering Society
LA  - en
AB  - A head-related-transfer-function (HRTF) model is presented, using delays, shelving filters for interaural-level-difference (ILD), and biquad equalizers for front-rear and elevation monaural cues. Based on averaged data from a few dozen measured HRTF sets, mappings are defined from azimuth and elevation to delays, ILD filters, and the monaural cues equalizers. The HRTF data implies that separate equalizers for front-rear and elevation cues, respectively, can approximate these. In addition to using the model directly to render binaural sound, the model can be used to convert omnidirectional-microphone array impulse responses or binaural-room-impulse-responses (BRIRs) to HRTFs, and to enable head-tracking for static HRTFs or BRIRs.
ER  -