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• DOI (persistently published): 10.60887/j57ffyefbxw69cw2
• DOI Publication Year: 2025
• Uploaded by: Piotr Majdak
• Date (created): 2025-07-09 09:42:47 (GMT)
• Date (updated): 2025-12-02 17:52:46 (GMT)
• Production Year: 2004-2025
• Resource Type: Dataset (SONICOM Ecosystem)
• Rights: CC BY 4.0 Attribution
• Subject Areas: Life Science , Other SONICOM Ecosystem
• General Description: HRTFs used to evaluate the normalization of HRTF databases proposed in Bahu et al. (2026).
• Abstract: The methodologies for measuring and postprocessing HRTFs vary significantly across laboratories. This leads to objective and perceptual inconsistencies between HRTF databases and makes it challenging to integrate
  multiple databases into a single repository to facilitate wide-scale research and application. This databases results from a normalization procedure described in Bahu et al. (2026), aimed at enhancing the consistency across HRTF datasets obtained from different laboratories while preserving the spatial information essential to HRTFs.
• Methods: The normalization approach consists of six processing steps: low-pass filtering, temporal alignment, temporal windowing, diffuse-field equalization, low-frequency extrapolation, and far-field correction. The normalization was
  done for 17 HRTF datasets of the same dummy head Neumann KU-100.