Evaluation of Sensor Self-Noise in Binaural Rendering of Spherical Microphone Array Signals
Paper in proceedings, 2020

Spherical microphone arrays are used to capture spatial sound fields, which can then be rendered via headphones. We use the Real-Time Spherical Array Renderer (ReTiSAR) to analyze and auralize the propagation of sensor self-noise through the processing pipeline. An instrumental evaluation confirms a strong global influence of different array and rendering parameters on the spectral balance and the overall level of the rendered noise. The character of the noise is direction independent in the case of spatially uniformly distributed noise. However, timbre of the rendered self-noise changes with head orientation in the case of spatially non-uniform noise. We determine audibility thresholds of the coloration artifact during head rotations for different array configurations in a perceptual user study.

spherical microphone array

sensor noise

spatial audio

binaural

Author

Hannes Helmholz

Chalmers, Architecture and Civil Engineering, Applied Acoustics

Jens Ahrens

Chalmers, Architecture and Civil Engineering, Applied Acoustics

David Lou Alon

Facebook Reality Labs

Sebastià V. Amengual Garí

Ravish Mehra

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

15206149 (ISSN)

161-165 9054434

IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Barcelona, Spain,

Binaural Rendering of Spherical Microphone Array Data

Oculus Inc., 2018-05-01 -- 2019-04-30.

Areas of Advance

Information and Communication Technology

Subject Categories

Telecommunications

Signal Processing

DOI

10.1109/ICASSP40776.2020.9054434

More information

Latest update

9/1/2020 6