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Computer Science > Sound

arXiv:2312.08069 (cs)
[Submitted on 13 Dec 2023]

Title:Improving Spatial Resolution of First-order Ambisonics Using Sparse MDCT Representation

Authors:Denis Likhachov, Nick Petrovsky, Elias Azarov
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Abstract:The paper presents a method for improving spatial resolution of first-order ambisonic audio. The method is based on time/frequency decomposition of the audio with subsequent extraction of a directed plane wave from each frequency component. The method develops the basic ideas of high angular resolution planewave expansion (HARPEX) and directional audio coding (DirAC) taking advantage of real-valued sparse decomposition. Real-valued frequency components as opposed to complex-valued introduce simpler and more stable direction of arrival estimates, while sparse decomposition introduces an accurate and unified approach to describing sounds of different nature from transient to tonal sounds.
Comments: Associated slides with audio samples this https URL Audio samples with visualizations this https URL
Subjects: Sound (cs.SD)
Cite as: arXiv:2312.08069 [cs.SD]
  (or arXiv:2312.08069v1 [cs.SD] for this version)
  https://doi.org/10.48550/arXiv.2312.08069
Journal reference: Proceedings of 16-th International Conference PRIP2023, Minsk, 2023, P. 122-125

Submission history

From: Elias Azarov [view email]
[v1] Wed, 13 Dec 2023 11:28:26 UTC (990 KB)
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