Instrumental Evaluation of Sensor Self-Noise in Binaural Rendering of Spherical Microphone Array Signals

Hannes Helmholz , David Alon , Sebastia Gari , Jens Ahrens (1)

1 Chalmers University of Technology [Gothenburg, Sweden]

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.

Mots clés: Sensor self-noise; Spherical microphone arrays; Binaural rendering; Real-time signal processing

Domaines: Acoustique [physics.class-ph]; Vibrations [physics.class-ph]

Hannes Helmholz, David Alon, Sebastia Gari, Jens Ahrens. Instrumental Evaluation of Sensor Self-Noise in Binaural Rendering of Spherical Microphone Array Signals. Forum Acusticum, Dec 2020, Lyon, France. pp.1349-1356, ⟨10.48465/fa.2020.0074⟩. ⟨hal-03235341⟩