Predicting the Colouration between Binaural Signals

McKenzie, Thomas, Armstrong, Calum, Ward, Lauren et al. (2 more authors) (2022) Predicting the Colouration between Binaural Signals. Applied Sciences (Switzerland). 2441. ISSN 2076-3417

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Authors/Creators:
Copyright, Publisher and Additional Information: Funding Information: Funding: This research was supported by a Google Faculty Research Award. Publisher Copyright: © 2022 by the authors. Licensee MDPI, Basel, Switzerland.
Keywords: Binaural audio, Colouration, Immersive audio, Signal difference, Spectral difference
Dates:
  • Accepted: 23 February 2022
  • Published (online): 26 February 2022
Institution: The University of York
Academic Units: The University of York > Faculty of Sciences (York) > Electronic Engineering (York)
The University of York > Faculty of Arts and Humanities (York) > Theatre, Film, TV and Interactive Media (York)
Depositing User: Pure (York)
Date Deposited: 22 Mar 2022 16:10
Last Modified: 04 Feb 2024 01:17
Published Version: https://doi.org/10.3390/app12052441
Status: Published online
Refereed: Yes
Identification Number: https://doi.org/10.3390/app12052441
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Filename: applsci_12_02441_v2.pdf

Description: applsci-12-02441-v2

Licence: CC-BY 2.5

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