A Data-Driven Approach to Audio Decorrelation

Author:

Anemuller Carlotta1ORCID,Thiergart Oliver1ORCID,Habets Emanuel A. P.1ORCID

Affiliation:

1. International Audio Laboratories Erlangen, (a joint institution of the Friedrich-Alexander-Universität Erlangen-Nürnberg and Fraunhofer IIS), Erlangen, Germany

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Signal Processing

Reference30 articles.

1. Principles: When there should be no difference – how to fail to reject the null hypothesis

2. Velvet-noise decorrelator;alary;Proc Int Conf Digit Audio Effects,0

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4. A group delay-based method for signal decorrelation;canfield-dafilou;Proc 144th Audio Eng Soc Conv,0

5. WD1 of ISO/IEC 23090-4, MPEG-I Immersive Audio;Proc 140th MPEG Meet,0

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1. Neural Audio Decorrelation Using Generative Adversarial Networks;2023 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA);2023-10-22

2. Signal Restoration with Fractional Transform Sparse Representation and Autoencoder;2023 9th International Conference on Computer and Communication Engineering (ICCCE);2023-08-15

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