Physical layer protection, which protects data confidentiality using information-theoretic
methods, has recently attracted a lot of research attention. Using the inherent randomness of …

Current multichannel speech enhancement algorithms typically assume a stationary sound
source, a common mismatch with reality that limits their performance in real-world scenarios …

Current deep learning-based speech enhancement methods aim to establish a map**
relationship between noisy and clean speech. However, since the training target is solely …

Improving intelligibility of a speech signal of interest from its observations (with a single
microphone) corrupted by additive noise has long been a challenging problem. Motivated by …

Differential beamformers with small-size microphone arrays are very attractive for audio and
speech signal acquisition thanks to their high directivity and frequency-invariant spatial …

In this paper, we present a novel single-input/binaural-output (SIBO) minimum variance
distortionless response (MVDR) noise reduction method, which involves formulating two …

Monaural speech enhancement has achieved remarkable progress recently. However, its
performance has been constrained by the limited spatial cues available at a single …

Beamforming is one of the most effective approaches to distant sound acquisition in complex
acoustic environments, where noise, reverberation, and interference coexist; as a result, a …

In this paper, we address the challenge of single-channel speech separation in noisy
environments, where two active speakers and background noise are present in the …

In this chapter, we give a fresh perspective on binaural beamforming, where within the same
process, we also try to take advantage of our binaural hearing system. Basically, after …