Software & Data Downloads — NIIRF

neural-IIR-field for training and evaluating models proposed in our ICASSP 2024 paper, “NIIRF: Neural IIR Filter Field for HRTF Upsampling and Personalization”.

PyTorch implementation for training and evaluating models proposed in our ICASSP 2024 paper, “NIIRF: Neural IIR Filter Field for HRTF Upsampling and Personalization.” Both single and multi-subject training and inference codes are included for use with CIPIC and HUTUBS datasets, respectively.

  •  Masuyama, Y., Wichern, G., Germain, F.G., Pan, Z., Khurana, S., Hori, C., Le Roux, J., "NIIRF: Neural IIR Filter Field for HRTF Upsampling and Personalization", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), DOI: 10.1109/​ICASSP48485.2024.10448477, March 2024, pp. 1016-1020.
    BibTeX TR2024-026 PDF Software
    • @inproceedings{Masuyama2024mar,
    • author = {Masuyama, Yoshiki and Wichern, Gordon and Germain, François G and Pan, Zexu and Khurana, Sameer and Hori, Chiori and Le Roux, Jonathan},
    • title = {NIIRF: Neural IIR Filter Field for HRTF Upsampling and Personalization},
    • booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
    • year = 2024,
    • pages = {1016--1020},
    • month = mar,
    • doi = {10.1109/ICASSP48485.2024.10448477},
    • url = {https://www.merl.com/publications/TR2024-026}
    • }

Access software at https://github.com/merlresearch/neural-IIR-field.