Geometrically-Motivated Primary-Ambient Decomposition With Center-Channel Extraction
Paulus J, Torcoli M (2022)
Publication Type: Conference contribution
Publication year: 2022
Publisher: European Signal Processing Conference, EUSIPCO
Book Volume: 2022-August
Pages Range: 299-303
Conference Proceedings Title: European Signal Processing Conference
Event location: Belgrade
ISBN: 9789082797091
Abstract
A geometrically-motivated method for primary-ambient decomposition is proposed and evaluated in an upmixing application. The method consists of two steps, accommodating a particularly intuitive explanation. The first step consists of signal-adaptive rotations applied on the input stereo scene, which translate the primary sound sources into the center of the rotated scene. The second step applies a center-channel extraction method, based on a simple signal model and optimal in the mean-squared-error sense. The performance is evaluated by using the estimated ambient component to enable surround sound starting from real-world stereo signals. The participants in the reported listening test are asked to adjust the audio scene envelopment and find the audio settings that pleases them the most. The possibility for up-mixing enabled by the proposed method is used extensively, and the user satisfaction is significantly increased compared to the original stereo mix.
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Germany (DE)How to cite
APA:
Paulus, J., & Torcoli, M. (2022). Geometrically-Motivated Primary-Ambient Decomposition With Center-Channel Extraction. In European Signal Processing Conference (pp. 299-303). Belgrade, RS: European Signal Processing Conference, EUSIPCO.
MLA:
Paulus, Jouni, and Matteo Torcoli. "Geometrically-Motivated Primary-Ambient Decomposition With Center-Channel Extraction." Proceedings of the 30th European Signal Processing Conference, EUSIPCO 2022, Belgrade European Signal Processing Conference, EUSIPCO, 2022. 299-303.
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