Ambisonics Coding in IVAS: A Hybrid SPAR and DirAC System

The Ambisonics audio format represents a 3D sound field as a fixed set of audio channels, with a tradeoff between spatial detail and the required number of audio channels. Because the number of audio channels that must be coded increases quadratically with respect to Ambisonics order, high-quality coding of Ambisonics signals under practical bitrate and complexity constraints becomes a major challenge. To overcome this, the 3GPP IVAS codec employs a new hybrid parametric and residual coding scheme combining complementary Spatial Reconstruction (SPAR) and Directional Audio Coding (DirAC) techniques. In this paper, we describe the implementation of this hybrid coding system and demonstrate its advantages to discrete channel-coding approaches in terms of computational complexity and audio quality.

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Publication Details

Published
2025-03-12
DOI
https://doi.org/10.1109/icassp49660.2025.10888651
Citations
1
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
2.48
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Ambisonics Coding in IVAS: A Hybrid SPAR and DirAC System

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1 citations
Quantum Computing Algorithms and Architecture
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article

Ambisonics Coding in IVAS: A Hybrid SPAR and DirAC System

Markus Multrus, Juan Carlos Zúñiga, Guillaume Fuchs, Sarah Anne Brown, Dominik Weckbecker, Archit Tamarapu
article en
1 citations

Abstract

The Ambisonics audio format represents a 3D sound field as a fixed set of audio channels, with a tradeoff between spatial detail and the required number of audio channels. Because the number of audio channels that must be coded increases quadratically with respect to Ambisonics order, high-quality coding of Ambisonics signals under practical bitrate and complexity constraints becomes a major challenge. To overcome this, the 3GPP IVAS codec employs a new hybrid parametric and residual coding scheme combining complementary Spatial Reconstruction (SPAR) and Directional Audio Coding (DirAC) techniques. In this paper, we describe the implementation of this hybrid coding system and demonstrate its advantages to discrete channel-coding approaches in terms of computational complexity and audio quality.

National Acoustic Laboratories (AU), Fraunhofer Institute for Integrated Circuits (DE)
Openalex Percentile: Top 11%
Quantum Computing Algorithms and Architecture
2.48
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