Augmented or mixed reality (AR/MR) is emerging as one of the key technologies in the
future of computing. Audio cues are critical for maintaining a high degree of realism, social …

An accurate noise power spectral density (PSD) tracker is an indispensable component of a
single-channel speech enhancement system. Bayesian-motivated minimum mean-square …

The key advantage of using multiple microphones for speech enhancement is that spatial
filtering can be used to complement the tempo-spectral processing. In a traditional setting …

A signal processing approach combining beamforming with mask-informed speech
enhancement was assessed by measuring sentence recognition in listeners with mild-to …

Hearing-impaired people often struggle to follow the speech stream of an individual talker in
noisy environments. Recent studies show that the brain tracks attended speech and that the …

During the past three decades, the issue of processing spectral phase has been largely
neglected in speech applications. There is no doubt that the interest of speech processing …

Neural networks have been successfully used for non-intrusive speech intelligibility
prediction. Recently, the use of feature representations sourced from intermediate layers of …

Identifying the target speaker in hearing aid applications is an essential ingredient to
improve speech intelligibility. Recently, a least-squares-based auditory attention decoding …

In a scenario with multiple persons talking simultaneously, the spatial characteristics of the
signals are the most distinct feature for extracting the target signal. In this work, we develop a …

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 …