Opens in a new tab

AES E-Library

← Back to search

Conference Paper

Investigating the “Ring of Silence” in Loudspeaker and Binaural Reproduction Using Advanced Ambisonic Decoding Strategies

Authors: Fazi, Filippo Maria; Hollebon, Jacob; Li, Yueheng

AVARIG 2026: Audio for Virtual and Augmented Reality and Immersive Games · Paper 505 · June 2026

Abstract

Higher-Order Ambisonics (HOA) reproduction with conventional mode-matching decoders can exhibit the so-called ring of silence, characterised by sound level reduction in specific spatial or spectral regions. This effect arises in loudspeaker reproduction when the number of loudspeakers exceeds that required by the Ambisonic order, and in binaural rendering when head-related transfer functions (HRTFs) are sampled at a higher spatial resolution than
supported by the input signal. This paper investigates the extent to which advanced Ambisonic decoding strategies can mitigate this artefact. In particular, decoders based on Lasso regularisation and magnitude least-squares (MagLS) are evaluated through numerical simulations in both loudspeaker and binaural reproduction scenarios. The results show that both approaches significantly reduce the prominence of the ring of silence compared to conventional minimum-norm mode-matching decoders. In loudspeaker reproduction, a more uniform spatial
distribution of SPL is obtained, while in binaural rendering, spectral consistency is improved. An interpretation of these results is proposed, linking the observed behaviour to the underlying optimisation criteria of the decoding process. The results indicate that the ring of silence is not an inherent limitation of Ambisonics, but rather a consequence of the decoding strategy, and can be effectively mitigated through appropriate decoder design.

Details

Published in
AVARIG 2026: Audio for Virtual and Augmented Reality and Immersive Games
Paper number
505
Publication date
June 30, 2026
Session subject
Binaural audio rendering / reproduction, Spatial audio (3D audio, ambisonics, object-based)
Type
Conference Paper