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Communication Dans Un Congrès Année : 2021

Ambisonic Coding with Spatial Image Correction

Stéphane Ragot
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  • PersonId : 1084546
Jérôme Daniel
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  • PersonId : 1084547

Résumé

We present a new method to enhance multi-mono coding of ambisonic audio signals. In multi-mono coding, each component is represented independently by a mono core codec, this may introduce strong spatial artifacts. The proposed method is based on the correction of spatial images derived from the sound-field power map of original and degraded ambisonic signals. The correction metadata is transmitted as side information to restore the spatial image by post-processing. The performance of the proposed method is compared against naive multi-mono coding (with no side information) at the same overall bitrate. Experimental results are provided for the case of First-Order Ambisonic (FOA) signals and two mono core codecs: EVS and Opus. The proposed method is shown to provide on average some audio quality improvement for both core codecs. ANOVA results are provided as a complementary analysis. Index Terms-ambisonics, audio coding, spatial audio.

Domaines

Son [cs.SD]
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Dates et versions

hal-03042322 , version 1 (06-12-2020)

Identifiants

  • HAL Id : hal-03042322 , version 1

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Pierre Mahé, Stéphane Ragot, Sylvain Marchand, Jérôme Daniel. Ambisonic Coding with Spatial Image Correction. European Signal Processing Conference (EUSIPCO) 2020, Jan 2021, Amsterdam (virtual ), Netherlands. ⟨hal-03042322⟩

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L3I UNIV-ROCHELLE
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