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

Spherical microphone arrays are used to capture spatial sound fields, which can then be rendered via headphones. Insight into perceptual properties of sensor self-noise is valuable in the design and construction process of such arrays. We use the Real-Time Spherical Array Renderer (ReTiSAR) to analyze the frequency-dependent white-noise-gain, i.e. propagation of wanted and unwanted signals through the processing pipeline. In this contribution, we demonstrate an instrumental evaluation for a large set of array and rendering configurations. Latter strongly influence the rendered spectral balance and overall level of spatially uniformly distributed self-noise. Additionally, a dependency on head rotation yielding a change in the reproduced coloration is confirmed for the case of spatially non-uniform noise.

Sensor self-noise

Binaural rendering

Spherical microphone arrays

Real-time signal processing

Author

Hannes Helmholz

Chalmers, Architecture and Civil Engineering, Applied Acoustics

David Lou Alon

Facebook Reality Labs

Sebastià V. Amengual Garí

Facebook Reality Labs

Jens Ahrens

Chalmers, Architecture and Civil Engineering, Applied Acoustics

Proceedings of Forum Acusticum

22213767 (ISSN)

1349-1356 000074

Forum Acusticum
Lyon, France,

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

10.48465/fa.2020.0074

Related datasets

Associated Dataset for "Instrumental Evaluation of Sensor Self-Noise in Binaural Rendering of Spherical Microphone Array Signals" [dataset]

DOI: 10.5281/zenodo.3711626

More information

Created

11/13/2021