Software & Data Downloads — ranf-hrtf

Retrieval-Augmented Neural Field for HRTF Upsampling and Personalization for training and evaluating models related to Retrieval-Augmented Neural Field (RANF) for HRTF upsampling and personalization.

PyTorch implementation for training and evaluating models related to Retrieval-Augmented Neural Field (RANF) for HRTF upsampling and personalization. The model will be trained and evaluated on the SONICOM dataset.

    •  Masuyama, Y., Wichern, G., Germain, F.G., Ick, C., Le Roux, J., "Retrieval-Augmented Neural Field for HRTF Upsampling and Personalization", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), March 2025.
      BibTeX TR2025-029 PDF Software
      • @inproceedings{Masuyama2025mar,
      • author = {Masuyama, Yoshiki and Wichern, Gordon and Germain, François G and Ick, Christopher and {Le Roux}, Jonathan},
      • title = {{Retrieval-Augmented Neural Field for HRTF Upsampling and Personalization}},
      • booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
      • year = 2025,
      • month = mar,
      • url = {https://www.merl.com/publications/TR2025-029}
      • }

    Access software at https://github.com/merlresearch/ranf-hrtf.