Reverberation, whichis caused by late reflections, impairs not only speech quality but also
intelligibility. Consequently, dereverberation, a process to mitigate the impact of …

This paper develops a framework that can accurately perform denoising, dereverberation,
and source separation using a relatively small number of microphones. It has been …

This article proposes a hybrid reverberation model by integrating two conventional models,
namely, the multichannel linear prediction (MCLP) model and the spatial coherence model …

We extend the state-of-the-art online dereverberation method, online weighted prediction
error (WPE), which predicts late reverberation components using a multichannel linear …

Single-channel blind dereverberation aims to remove reverberation from a single-channel
reverberant signal without using any additional information. In acoustics, weighted …

Deep learning has revolutionized speech enhancement, enabling impressive high-quality
noise reduction and dereverberation. However, state-of-the-art methods often demand …

Speech dereverberation aims to alleviate the detrimental effects of late-reverberant
components. While the weighted prediction error (WPE) method has shown superior …

Dereverberation technology is needed in a wide range of speech applications as
reverberation often greatly degrades the quality and intelligibility of the speech signal of …

Weighted prediction error (WPE) is a linear prediction-based method extensively used to
predict and attenuate the late reverberation component of an observed speech signal. This …

Weighted prediction error (WPE) is a fundamental dereverberation method to predict the late
reverberation component of an observed signal based on linear prediction (LP). Recently …