This study proposes a multi-microphone complex spectral mapping approach for speech
dereverberation on a fixed array geometry. In the proposed approach, a deep neural …

Reduction of late reverberation can be achieved using spatio-spectral filters, such as the
multichannel Wiener filter. To compute this filter, an estimate of the late reverberation power …

Many signal processing algorithms have been proposed to improve the quality of speech
recorded in the presence of noise and reverberation. Perceptual measures, ie, listening …

We present a neural network based approach to two-channel beamforming. First, single-and
cross-channel spectral features are extracted to form a feature map for each utterance. A …

This paper proposes an online single-channel speech enhancement method designed to
improve the quality of speech degraded by reverberation and noise. Based on an …

Separation of speech mixtures in noisy and reverberant environments remains a
challenging task for state-of-the-art speech separation systems. Time-domain audio speech …

Automatic emotion recognition (AER) systems are burgeoning and systems based on either
audio, video, text, or physiological signals have emerged. Multimodal systems, in turn, have …

In this chapter, we consider spectral masking filters for interference reduction in case of a
single‐channel input. The considered techniques are thus relevant when only one …

In this paper, we propose a model to perform speech dereverberation by estimating its
spectral magnitude from the reverberant counterpart. Our models are capable of extracting …

We aim to provide controls for emotion in synthetic speech. Many emotions are not
displayed continuously in an otherwise emotional utterance; rather, the intensity varies with …