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.
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MERL Contacts
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Related Publications
- "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}
- }
- "Retrieval-Augmented Neural Field for HRTF Upsampling and Personalization", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), March 2025.
Software & Data Downloads
Access software at https://github.com/merlresearch/ranf-hrtf.