You are currently logged in as an
Institutional Subscriber.
If you would like to logout,
please click on the button below.
Home / Publications / E-library page
Only AES members and Institutional Journal Subscribers can download
Spatial audio enhances immersion in applications such as virtual reality, augmented reality, gaming, and cinema by creating a three-dimensional auditory experience. Ensuring the spatial fidelity of binaural audio is crucial, given that processes such as compression, encoding, or transmission can alter localization cues. While subjective tests are used for evaluating spatial localization quality, they are costly and time-consuming. This paper introduces BINAQUAL, a full-reference objective metric designed to assess localization similarity in binaural audio recordings. BINAQUAL adapts the AMBIQUAL metric, originally developed for localization quality assessment in ambisonics audio format, to the binaural domain. BINAQUAL is evaluated across five key research questions, examining its sensitivity to variations in sound source locations, angle interpolations, surround loudspeaker layouts, audio degradations, and content diversity. Results demonstrate that BINAQUAL effectively differentiates between subtle spatial variations and correlates strongly with subjective listening tests, making it a reliable metric for binaural localization quality assessment. The proposed metric provides a robust benchmark for ensuring spatial accuracy in binaural audio processing, paving the way for improved objective evaluations in immersive audio applications.
Author (s): Shariat Panah, Davoud;
Barry, Dan;
Ragano, Alessandro;
Skoglund, Jan;
Hines, Andrew;
Affiliation:
School of Computer Science, University College Dublin, Dublin, Ireland; School of Computer Science, University College Dublin, Dublin, Ireland; School of Computer Science, University College Dublin, Dublin, Ireland; School of Computer Science, University College Dublin, Dublin, Ireland; Google LLC, San Francisco, CA
(See document for exact affiliation information.)
Publication Date:
2026-02-10
DOI:
Click to purchase paper as a non-member or login as an AES member. If your company or school subscribes to the E-Library then switch to the institutional version. If you are not an AES member Join the AES. If you need to check your member status, login to the Member Portal.

Shariat Panah, Davoud; Barry, Dan; Ragano, Alessandro; Skoglund, Jan; Hines, Andrew; 2026; BINAQUAL: A Full-Reference Objective Localization Similarity Metric for Binaural Audio [PDF]; School of Computer Science, University College Dublin, Dublin, Ireland; School of Computer Science, University College Dublin, Dublin, Ireland; School of Computer Science, University College Dublin, Dublin, Ireland; School of Computer Science, University College Dublin, Dublin, Ireland; Google LLC, San Francisco, CA; Paper ; Available from: https://aes.org/publications/elibrary-page/?id=23119
Shariat Panah, Davoud; Barry, Dan; Ragano, Alessandro; Skoglund, Jan; Hines, Andrew; BINAQUAL: A Full-Reference Objective Localization Similarity Metric for Binaural Audio [PDF]; School of Computer Science, University College Dublin, Dublin, Ireland; School of Computer Science, University College Dublin, Dublin, Ireland; School of Computer Science, University College Dublin, Dublin, Ireland; School of Computer Science, University College Dublin, Dublin, Ireland; Google LLC, San Francisco, CA; Paper ; 2026 Available: https://aes.org/publications/elibrary-page/?id=23119
@article{Shariat2026binaqual:,
title={{BINAQUAL: A Full-Reference Objective Localization Similarity Metric for Binaural Audio}},
author={Shariat Panah, Davoud and Barry, Dan and Ragano, Alessandro and Skoglund, Jan and Hines, Andrew},
year={2026},
month={may},
journal={Journal of the Audio Engineering Society},
volume={74},
number={1/2},
pages={20-34},
}
TY – paper
TI – BINAQUAL: A Full-Reference Objective Localization Similarity Metric for Binaural Audio
SP – 20 EP – 34
AU – Shariat Panah, Davoud
AU – Barry, Dan
AU – Ragano, Alessandro
AU – Skoglund, Jan
AU – Hines, Andrew
PY – 2026
JO – Journal of the Audio Engineering Society
VO – 74
IS – 1/2
Y1 – May 2026
Notifications