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A Survey on Machine Learning Techniques for Head-Related Transfer Function Individualization
Davide Fantini, Michele Geronazzo, Federico Avanzini and Stavros Ntalampiras IEEE Open Journal of Signal Processing 6 30 (2025) https://doi.org/10.1109/OJSP.2025.3528330
Cross-Dataset Head-Related Transfer Function Harmonization Based on Perceptually Relevant Loss Function
SuDaField: Subject- and Dataset-Aware Neural Field for HRTF Modeling
Yoshiki Masuyama, Gordon Wichern, François G. Germain, Christopher Ick and Jonathan Le Roux IEEE Open Journal of Signal Processing 6 1169 (2025) https://doi.org/10.1109/OJSP.2025.3627073
Spectral Weighting of Monaural Cues for Auditory Localization in Sagittal Planes
Bayesian active sound localisation: To what extent do humans perform like an ideal-observer?
Glen McLachlan, Piotr Majdak, Jonas Reijniers, Michael Mihocic, Herbert Peremans and Andrea E. Martin PLOS Computational Biology 21(1) e1012108 (2025) https://doi.org/10.1371/journal.pcbi.1012108
On the generalization of accommodation to head-related transfer functions
Perceptually enhanced spectral distance metric for head-related transfer function quality prediction
Dingding Yao, Jiale Zhao, Yunpeng Liang, Yunan Wang, Jianjun Gu, Maoshen Jia, Hyunkook Lee and Junfeng Li The Journal of the Acoustical Society of America 156(6) 4133 (2024) https://doi.org/10.1121/10.0034632
HRTF Upsampling With a Generative Adversarial Network Using a Gnomonic Equiangular Projection