Tool: GAN-based HRTF upsampling (2024)

Subtitle: GAN-based neural network for spatially sparse HRTF upsampling
Cite as: Hogg, A., and Picinali, L. (2024). "GAN-based HRTF upsampling", The SONICOM Ecosystem: Tool #9. URL: https://ecosystem.sonicom.eu/tools/9. Copy Citation to Clipboard

The File

  • File Name: Exploring-the-impact-of-transfer-learning-on-GAN-based-HRTF-upsampling-single_node_upsampling.zip
  • Download Link: Exploring-the-impact-of-transfer-learning-on-GAN-based-HRTF-upsampling-single_node_upsampling.zip Copy to Clipboard
  • File Size: 116352 bytes = 113.63 kbytes

    Metadata

    Creators:

    • Hogg, Aidan ORCID: 0000-0001-5501-7799 , Imperial College London ROR: 041kmwe10
    • Picinali, Lorenzo ORCID: 0000-0001-9297-2613 , Imperial College London ROR: 041kmwe10

    Publishers:

    • The SONICOM Ecosystem of the Austrian Academy of Sciences ROR: 03anc3s24

    Rightsholders:

    • Imperial College London ROR: 041kmwe10

    Keywords:

    • No keywords defined.

    Relations:

    Other:

    • DOI: not assigned yet
    • Uploaded by: Aidan O. T. Hogg
    • Date (created): 2025-06-30 09:26:29 (GMT)
    • Date (updated): 2026-02-05 17:26:14 (GMT)
    • Production Year: 2024
    • Resource Type: Model
    • Rights: All rights reserved
    • Subject Areas: Life Science , Other SONICOM Ecosystem

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    Uploaded by: Aidan O. T. Hogg
    Created: 2025-06-30 09:26:29
    Updated: 2026-02-05 17:26:14