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Spatial covariance models for under-determined …

    https://hal.archives-ouvertes.fr/hal-00481529/document
    SPATIAL COVARIANCE MODELS FOR UNDER-DETERMINED REVERBERANT AUDIO SOURCE SEPARATION Ngoc Q.K. Duong, Emmanuel Vincent and R´emi Gribonval METISS project team, IRISA-INRIA Campus de Beaulieu, 35042 Rennes Cedex, France!qduong, emmanuel.vincent, remi.gribonval"@irisa.fr ABSTRACT The separation of under-determined convolutive audio …

Under-Determined Reverberant Audio Source Separation …

    https://ieeexplore.ieee.org/document/5466223/
    Under-Determined Reverberant Audio Source Separation Using a Full-Rank Spatial Covariance Model. Abstract: This paper addresses the modeling of reverberant recording environments in the context of under-determined convolutive blind source separation. We model the contribution of each source to all mixture channels in the time-frequency domain as a zero …

Spatial covariance models for under-determined …

    https://www.researchgate.net/publication/224086780_Spatial_covariance_models_for_under-determined_reverberant_audio_source_separation
    Spatial covariance models for under-determined reverberant audio source separation. ... was extended to the concept of underdetermined source separation techniques that provide a …

Under-determined reverberant audio source separation using ...

    https://hal.inria.fr/inria-00541865/file/duong_TASLP10.pdf
    Under-determined reverberant audio source separation using a full-rank spatial covariance model Ngoc Q. K. Duong, Emmanuel Vincent and Remi Gribonval´ Abstract—This article addresses the modeling of reverberant recording environments in the context of under-determined convolutive blind source separation. We model the contribution

Under-determined reverberant audio source separation using ...

    https://hal.inria.fr/inria-00435807v2/document
    Under-determined reverberant audio source separation using a full-rank spatial covariance model Ngoc Duong, Emmanuel Vincent, Rémi Gribonval To cite this version: Ngoc Duong, Emmanuel Vincent, Rémi Gribonval. Under-determined reverberant audio source sepa-ration using a full-rank spatial covariance model.

Nonnegative matrix factorization and spatial covariance ...

    https://ieeexplore.ieee.org/document/5605570/
    Abstract: We address the problem of blind audio source separation in the under-determined and convolutive case. The contribution of each source to the mixture channels in the time-frequency domain is modeled by a zero-mean Gaussian random vector with a full rank covariance matrix composed of two terms: a variance which represents the spectral properties …

[0912.0171] Under-determined reverberant audio source ...

    https://arxiv.org/abs/0912.0171
    Under-determined reverberant audio source separation using a full-rank spatial covariance model. This article addresses the modeling of reverberant recording environments in the context of under-determined convolutive blind source separation. We model the contribution of each source to all mixture channels in the time-frequency domain as a zero-mean Gaussian …

NONNEGATIVE MATRIX FACTORIZATION AND …

    http://www.quaero.org/media/files/bibliographie/arberet_isspa10.pdf
    NONNEGATIVE MATRIX FACTORIZATION AND SPATIAL COVARIANCE MODEL FOR UNDER-DETERMINED REVERBERANT AUDIO SOURCE SEPARATION Simon Arberet1, Alexey Ozerov 2, Ngoc Q.K. Duong , Emmanuel Vincent , Remi Gribonval´ 2, Fred´ ´eric Bimbot 3, Pierre Vandergheynst1 1 Signal Processing Institute, Ecole Polytechnique F´ ed´ ´erale de Lausanne …

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