The machine recognition of speech spoken at a distance from the microphones, known as
far-field automatic speech recognition (ASR), has received a significant increase in attention …

Once a popular theme of futuristic science fiction or far-fetched technology forecasts, digital
home assistants with a spoken language interface have become a ubiquitous commodity …

This contribution presents a speech enhancement system for the CHiME-5 Dinner Party
Scenario. The front-end employs multi-channel linear time-variant filtering and achieves its …

This letter proposes a method for estimating a convolutional beamformer that can perform
denoising and dereverberation simultaneously in an optimal way. The application of …

Accurate recognition of cocktail party speech containing overlapping speakers, noise and
reverberation remains a highly challenging task to date. Motivated by the invariance of …

Far-field multi-speaker automatic speech recognition (ASR) has drawn increasing attention
in recent years. Most existing methods feature a signal processing frontend and an ASR …

Adaptive filtering algorithms are pervasive throughout signal processing and have had a
material impact on a wide variety of domains including audio processing …

We previously proposed an optimal (in the maximum likelihood sense) convolutional
beamformer that can perform simultaneous denoising and dereverberation, and showed its …

Frequency-domain beamformers have been successful in a wide range of multi-channel
neural separation systems in the past years. However, the operations in conventional …

A promising approach for multi-microphone speech separation involves two deep neural
networks (DNN), where the predicted target speech from the first DNN is used to compute …