A multichannel diffuse power estimator for dereverberation in the presence of multiple sources
TLDR
In this article, a method is proposed to estimate the diffuse sound PSD from a set of reference signals by blocking the direct signal components, which is suitable in the presence of multiple simultaneously active speakers.Abstract:
Using a recently proposed informed spatial filter, it is possible to effectively and robustly reduce reverberation from speech signals captured in noisy environments using multiple microphones. Late reverberation can be modeled by a diffuse sound field with a time-varying power spectral density (PSD). To attain reverberation reduction using this spatial filter, an accurate estimate of the diffuse sound PSD is required. In this work, a method is proposed to estimate the diffuse sound PSD from a set of reference signals by blocking the direct signal components. By considering multiple plane waves in the signal model to describe the direct sound, the method is suitable in the presence of multiple simultaneously active speakers. The proposed diffuse sound PSD estimator is analyzed and compared to existing estimators. In addition, the performance of the spatial filter computed with the diffuse sound PSD estimate is analyzed using simulated and measured room impulse responses in noisy environments with stationary noise and non-stationary babble noise.read more
Citations
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Journal ArticleDOI
Evaluation and Comparison of Late Reverberation Power Spectral Density Estimators
Sebastian Braun,Adam Kuklasinski,Ofer Schwartz,Oliver Thiergart,Emanuel A. P. Habets,Sharon Gannot,Simon Doclo,Jesper Jensen +7 more
TL;DR: It is shown that the proposed correction method can decrease the speech distortion without significantly affecting the reverberation reduction, and a common weakness of spatial coherence-based estimators is their performance in high direct-to-diffuse ratio conditions.
Journal ArticleDOI
Online Dereverberation for Dynamic Scenarios Using a Kalman Filter With an Autoregressive Model
TL;DR: It is shown that the proposed method outperforms an existing recursive least-squares solution in terms of reverberation reduction, convergence time, and tracking changes in the acoustic scene.
Journal ArticleDOI
Linear Prediction-Based Online Dereverberation and Noise Reduction Using Alternating Kalman Filters
TL;DR: An algorithm that consists of two alternating Kalman filters to estimate the noise-free reverberant signals and the (MAR) coefficients is proposed and a method to control the reverberation reduction and noise reduction independently is derived.
Journal ArticleDOI
Analysis of Eigenvalue Decomposition-Based Late Reverberation Power Spectral Density Estimation
Ina Kodrasi,Simon Doclo +1 more
TL;DR: An eigenvalue decomposition (EVD)-based late reverberation PSD estimator is analyzed and its estimation accuracy and computational complexity are analytically compared to a state-of-the-art maximum likelihood (ML) based PSd estimator.
Proceedings ArticleDOI
Late reverberant power spectral density estimation based on an eigenvalue decomposition
Ina Kodrasi,Simon Doclo +1 more
TL;DR: Experimental results demonstrate the advantages of using the proposed estimator in a multi-channel Wiener filter for speech dereverberation, outperforming a recently proposed maximum likelihood estimator both when the DOA is perfectly estimated as well as in the presence of DOA estimation errors.
References
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