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A Multi-loudspeaker Binaural Room Impulse Response Dataset with High-Resolution Translational and Rotational Head Coordinates in a Listening Room

Yue Qiao, Ryan Miguel Gonzales, Edgar Choueiri

TL;DR

The paper tackles the need for high-resolution BRIR datasets that capture how listener position and head orientation affect binaural signals in multi-loudspeaker rooms. It presents a measured BRIR dataset in an acoustically treated listening room using eight loudspeakers and a HATS, with high-resolution translational and rotational head coordinates obtained via automated motion hardware. The dataset comprises 68,376 BRIRs collected over a dense spatial grid (11×21×37) across eight loudspeakers and stored in the SOFA 2.1 format after synchronized ESS deconvolution, high-pass filtering, and truncation to 341.3 ms. This resource enables accurate BRIR modeling, interpolation, and applications such as crosstalk cancellation and personal sound zones, supporting data augmentation and ML-based binaural audio tasks.

Abstract

Data report for the 3D3A Lab Binaural Room Impulse Response (BRIR) Dataset (https://doi.org/10.34770/6gc9-5787).

A Multi-loudspeaker Binaural Room Impulse Response Dataset with High-Resolution Translational and Rotational Head Coordinates in a Listening Room

TL;DR

The paper tackles the need for high-resolution BRIR datasets that capture how listener position and head orientation affect binaural signals in multi-loudspeaker rooms. It presents a measured BRIR dataset in an acoustically treated listening room using eight loudspeakers and a HATS, with high-resolution translational and rotational head coordinates obtained via automated motion hardware. The dataset comprises 68,376 BRIRs collected over a dense spatial grid (11×21×37) across eight loudspeakers and stored in the SOFA 2.1 format after synchronized ESS deconvolution, high-pass filtering, and truncation to 341.3 ms. This resource enables accurate BRIR modeling, interpolation, and applications such as crosstalk cancellation and personal sound zones, supporting data augmentation and ML-based binaural audio tasks.

Abstract

Data report for the 3D3A Lab Binaural Room Impulse Response (BRIR) Dataset (https://doi.org/10.34770/6gc9-5787).
Paper Structure (5 sections, 3 figures)

This paper contains 5 sections, 3 figures.

Table of Contents

  1. Introduction
  2. Methods
  3. Data Collection
  4. Data Processing
  5. Data Visualization

Figures (3)

  • Figure 1: Illustrations of the measurement system.
  • Figure 2: Three example figures showing the properties of the BRIRs measured at the fourth loudspeaker (counting from the left) and with the listener facing forward. The $x$ axis of the figures is aligned with the loudspeaker array. The dashed line in the figure indicates the center of the fourth loudspeaker. Top figure: Onsets of the left-ear BRIRs. Middle figure: Peak amplitude of the left-ear BRIRs. Bottom figure: Calculated ITD of the BRIRs.
  • Figure :