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Under-Determined Reverberant Audio Source Separation Using a Full-Rank Spatial Covariance Model | IEEE Journals & Magazine | IEEE Xplore
https://ieeexplore.ieee.org/document/5466223/
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 …
Under-determined reverberant audio source separation …
https://www.sciencedirect.com/science/article/pii/S0167639316000236
The task of audio source separation for an underdetermined mixture of audio signals in a reverberant environment is addressed. Two Bayesian NMF frameworks are proposed to factorize the source variance matrix in the full-rank model for the purpose of providing a more powerful model.
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 …
https://hal.inria.fr/inria-00541868/document
Ngoc Duong, Emmanuel Vincent, Rémi Gribonval. Under-Determined Reverberant Audio Source Separation Using Local Observed Covariance and Auditory-Motivated Time-Frequency Representa-tion. Latent Variable Analysis and Signal Separation, 9th …
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