Adam Kuklasinski — accepted AI-conference papers

2016

Maximum likelihood PSD estimation for speech enhancement in reverberant and noisy conditions

Adam Kuklasinski, Simon Doclo, Jesper Jensen

ICASSP 2016accepted

We propose a novel Power Spectral Density (PSD) estimator for multi-microphone systems operating in reverberant and noisy conditions. The estimator is derived using the maximum likelihood approach and is based on a blocked and pre-whitened additive signal model. The intended application of the estim…

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2015

Multi-channel PSD estimators for speech dereverberation - A theoretical and experimental comparison

Adam Kuklasinski, Simon Doclo, Timo Gerkmann, Søren Holdt Jensen, Jesper Jensen

ICASSP 2015accepted

In this paper we perform an extensive theoretical and experimental comparison of two recently proposed multi-channel speech dereverberation algorithms. Both of them are based on the multi-channel Wiener filter but they use different estimators of the speech and reverberation power spectral densities…

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