A consolidated perspective on multimicrophone speech enhancement and source separation
Speech enhancement and separation are core problems in audio signal processing, with
commercial applications in devices as diverse as mobile phones, conference call systems …
commercial applications in devices as diverse as mobile phones, conference call systems …
FaSNet: Low-latency adaptive beamforming for multi-microphone audio processing
Beamforming has been extensively investigated for multi-channel audio processing tasks.
Recently, learning-based beamforming methods, sometimes called neural beamformers …
Recently, learning-based beamforming methods, sometimes called neural beamformers …
Comparing binaural pre-processing strategies II: Speech intelligibility of bilateral cochlear implant users
Several binaural audio signal enhancement algorithms were evaluated with respect to their
potential to improve speech intelligibility in noise for users of bilateral cochlear implants …
potential to improve speech intelligibility in noise for users of bilateral cochlear implants …
[LIBRO][B] Theory and applications of spherical microphone array processing
The topic of spherical microphone array signal processing has been gaining importance
since the publications of Meyer and Elko around 2002, and fuelled by many others since …
since the publications of Meyer and Elko around 2002, and fuelled by many others since …
Comparing binaural pre-processing strategies III: Speech intelligibility of normal-hearing and hearing-impaired listeners
A comprehensive evaluation of eight signal pre-processing strategies, including directional
microphones, coherence filters, single-channel noise reduction, binaural beamformers, and …
microphones, coherence filters, single-channel noise reduction, binaural beamformers, and …
[HTML][HTML] Brain-informed speech separation (BISS) for enhancement of target speaker in multitalker speech perception
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 …
noisy environments. Recent studies show that the brain tracks attended speech and that the …
Parallel and distributed successive convex approximation methods for big-data optimization
Recent years have witnessed a surge of interest in parallel and distributed optimization
methods for large-scale systems. In particular, nonconvex large-scale optimization problems …
methods for large-scale systems. In particular, nonconvex large-scale optimization problems …
The binaural LCMV beamformer and its performance analysis
The recently proposed binaural linearly constrained minimum variance (BLCMV)
beamformer is an extension of the well-known binaural minimum variance distortionless …
beamformer is an extension of the well-known binaural minimum variance distortionless …
Maximum likelihood PSD estimation for speech enhancement in reverberation and noise
In this contribution, we focus on the problem of power spectral density (PSD) estimation from
multiple microphone signals in reverberant and noisy environments. The PSD estimation …
multiple microphone signals in reverberant and noisy environments. The PSD estimation …
Semantic hearing: Programming acoustic scenes with binaural hearables
Imagine being able to listen to the birds chir** in a park without hearing the chatter from
other hikers, or being able to block out traffic noise on a busy street while still being able to …
other hikers, or being able to block out traffic noise on a busy street while still being able to …