Comments on “primary-ambient extraction using ambient spectrum estimation for immersive spatial audio reproduction”
Comments on “primary-ambient extraction using ambient spectrum estimation for immersive spatial audio reproduction”
In the above paper, He et al. propose a primary-ambient extraction method using ambient phase estimation with a sparsity constraint (APES). The primary-ambient extraction problem is formulated as a L1 -norm minimization of the primary component with respect to the phase of the ambient component, based on a stereo signal model they have assumed. Discrete searching (DS) is proposed as the approach for solving the APES in each time-frequency bin, which is computationally complicated and potentially imprecise. This correspondence provides an analytical solution to the APES by exploring the geometric relation between the primary and ambient components in a rotated coordinate.
Ambient phase estimation with a sparsity constraint, analytical solution, primary-ambient extraction
200-202
Lu, Haisheng
51d25e96-24be-4e09-aa7c-6ba9be1fe7c4
Liang, Jiangnan
a42f52fd-6d3f-4466-85a4-9a97f17aba4d
Shi, Chuang
c46f72bd-54c7-45ee-ac5d-285691fccf81
2024
Lu, Haisheng
51d25e96-24be-4e09-aa7c-6ba9be1fe7c4
Liang, Jiangnan
a42f52fd-6d3f-4466-85a4-9a97f17aba4d
Shi, Chuang
c46f72bd-54c7-45ee-ac5d-285691fccf81
Lu, Haisheng, Liang, Jiangnan and Shi, Chuang
(2024)
Comments on “primary-ambient extraction using ambient spectrum estimation for immersive spatial audio reproduction”.
IEEE/ACM Transactions on Audio, Speech, and Language Processing, 32, .
(doi:10.1109/TASLP.2023.3328286).
Abstract
In the above paper, He et al. propose a primary-ambient extraction method using ambient phase estimation with a sparsity constraint (APES). The primary-ambient extraction problem is formulated as a L1 -norm minimization of the primary component with respect to the phase of the ambient component, based on a stereo signal model they have assumed. Discrete searching (DS) is proposed as the approach for solving the APES in each time-frequency bin, which is computationally complicated and potentially imprecise. This correspondence provides an analytical solution to the APES by exploring the geometric relation between the primary and ambient components in a rotated coordinate.
Text
Comments_on_Primary-Ambient_Extraction_Using_Ambient_Spectrum_Estimation_for_Immersive_Spatial_Audio_Reproduction
- Accepted Manuscript
More information
Accepted/In Press date: 23 October 2023
e-pub ahead of print date: 30 October 2023
Published date: 2024
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Publisher Copyright:
© 2014 IEEE.
Keywords:
Ambient phase estimation with a sparsity constraint, analytical solution, primary-ambient extraction
Identifiers
Local EPrints ID: 483773
URI: http://eprints.soton.ac.uk/id/eprint/483773
ISSN: 2329-9304
PURE UUID: fe7d9656-9965-469c-beec-16f8f9329f77
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Date deposited: 06 Nov 2023 17:32
Last modified: 18 Mar 2024 04:13
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Contributors
Author:
Haisheng Lu
Author:
Jiangnan Liang
Author:
Chuang Shi
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