Database: HRTFs and Behavioral Data for: Short-term Statistical Learning Mitigates the Ill-posed Problem of Sound Localization (2024-2026)

Subtitle: HRTFs and localization responses for predictable and unpredictable sound spectra
DOI: 10.60887/xadjd02maj5m2z2q Copy DOI to Clipboard
Cite as: Baumgartner, R., Barumerli, R., Brands, B., and Majdak, P. (2026). "HRTFs and Behavioral Data for: Short-term Statistical Learning Mitigates the Ill-posed Problem of Sound Localization", The SONICOM Ecosystem: Database #41. URL: https://ecosystem.sonicom.eu/databases/41. Copy Citation to Clipboard

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  • DOI (assigned): 10.60887/xadjd02maj5m2z2q
  • Uploaded by: Piotr Majdak ORCID: 0000-0003-1511-6164 Email address: piotr.majdak@oeaw.ac.at
  • Date (created): 2025-10-27 13:36:02 (GMT)
  • Date (updated): 2026-05-20 14:38:56 (GMT)
  • Production Year: 2024-2026
  • Resource Type: Dataset (SONICOM Ecosystem)
  • Rights: CC BY 4.0 Attribution
  • Subject Areas: Life Science , Other SONICOM Ecosystem
  • General Description: Data for the article "Short-term Statistical Learning Mitigates the Ill-posed Problem of Sound Localization"
  • Abstract: Sound sources produce spectral shapes that can interfere with the HRTFs. We tested how listeners adapt to mitigate this interference by having listeners localize ripple-spectrum sounds in the acoustic free field. Ripple shapes were either fixed or randomized within blocks.

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Uploaded by: Piotr Majdak
Created: 2025-10-27 13:36:02
Updated: 2026-05-20 14:38:56