Evaluation of binaural renderers: A methodology

Gregory Reardon, Juan Simon Calle, Andrea Genovese, Gabriel Zalles, Marta Olko, Christal Jerez, Patrick Flanagan, Agnieszka Roginska

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Recent developments in immersive audio technology have motivated a proliferation of binaural renderers used for creating spatial audio content. Binaural renderers leverage psychoacoustic features of human hearing to reproduce a 3D sound image over headphones. In this paper, a methodology for the comparative evaluation of different binaural renderers is presented. The methodological approach is threefold: a subjective evaluation of 1) quantitative characteristics (such as front/back and up/down discrimination and localization); 2) qualitative characteristics (such as naturalness and spaciousness); and 3) overall preference. The main objective of the methodology is to help to elucidate the most meaningful factors for the performance of binaural renderers and to provide insight on possible improvements in the rendering process.

Original languageEnglish (US)
Title of host publication143rd Audio Engineering Society Convention 2017, AES 2017
PublisherAudio Engineering Society
Pages861-866
Number of pages6
ISBN (Electronic)9781510870703
StatePublished - 2017
Event143rd Audio Engineering Society Convention 2017, AES 2017 - New York, United States
Duration: Oct 18 2017Oct 20 2017

Publication series

Name143rd Audio Engineering Society Convention 2017, AES 2017
Volume2

Other

Other143rd Audio Engineering Society Convention 2017, AES 2017
CountryUnited States
CityNew York
Period10/18/1710/20/17

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Modeling and Simulation
  • Acoustics and Ultrasonics

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  • Cite this

    Reardon, G., Calle, J. S., Genovese, A., Zalles, G., Olko, M., Jerez, C., Flanagan, P., & Roginska, A. (2017). Evaluation of binaural renderers: A methodology. In 143rd Audio Engineering Society Convention 2017, AES 2017 (pp. 861-866). (143rd Audio Engineering Society Convention 2017, AES 2017; Vol. 2). Audio Engineering Society.