Multi-channel neural audio decorrelation using generative adversarial networks

Multi-channel neural audio decorrelation using generative adversarial networks

Abstract The degree of correlation between the sounds received by the ears significantly influences the spatial perception of a sound image. Audio signal decorrelation is, therefore, a commonly used tool in various spatial audio rendering applications. In this paper, we propose a multi-channel exten...

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Bibliographic Details
Main Authors:	Carlotta Anemüller, Oliver Thiergart, Emanuël A. P. Habets
Format:	Article
Language:	English
Published:	SpringerOpen 2024-11-01
Series:	EURASIP Journal on Audio, Speech, and Music Processing
Subjects:	Multi-channel audio decorrelation Generative adversarial networks Convolutional neural networks
Online Access:	https://doi.org/10.1186/s13636-024-00378-y
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