Speech enhancement and separation are core problems in audio signal processing, with
commercial applications in devices as diverse as mobile phones, conference call systems …

In everyday environments, we are frequently immersed by unwanted acoustic noise and
interference while we want to listen to acoustic signals, most often speech. Technology for …

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 …

We formulate a generic framework for blind source separation (BSS), which allows
integrating data-driven spectro-temporal methods, such as deep clustering and deep …

Besides improving speech intelligibility in background noise, another important objective of
noise reduction algorithms for binaural hearing devices is preserving the spatial impression …

In this paper, a multi-microphone noise reduction system based on the generalized sidelobe
canceller (GSC) structure is investigated. The system consists of a fixed beamformer …

This chapter provides an overview of multi‐microphone speech enhancement algorithms for
a binaural hearing system, consisting of a hearing device on each ear of the user. In contrast …

Relative impulse responses between microphones are usually long and dense due to the
reverberant acoustic environment. Estimating them from short and noisy recordings poses a …

Former research in binaural speech enhancement has demonstrated a demand of binaural
cue preservation beyond the requirements of noise suppression and speech quality. The …

The objective of binaural speech enhancement algorithms is to reduce the undesired noise
component, while preserving the desired speech source and the binaural cues of all sound …