Distant-microphone automatic speech recognition (ASR) remains a challenging goal in
everyday environments involving multiple background sources and reverberation. This …

Distant microphone speech recognition systems that operate with human-like robustness
remain a distant goal. The key difficulty is that operating in everyday listening conditions …

Distant-microphone automatic speech recognition (ASR) remains a challenging goal in
everyday environments involving multiple background sources and reverberation. This …

We propose a new framework for joint multichannel speech source separation and acoustic
noise reduction. In this framework, we start by formulating the minimum-mean-square error …

While recent progresses in neural network approaches to singlechannel speech separation,
or more generally the cocktail party problem, achieved significant improvement, their …

The recently introduced second CHiME challenge is a difficult two-microphone speech
recognition task with non-stationary interference. Current approaches in the source …

Here we propose online adaptive beamforming for automatic speech recognition (ASR) in
meetings in noisy, reverberant environments. The proposed method is based on recently …

The CHiME challenge series has been aiming to advance the development of robust
automatic speech recognition for use in everyday environments by encouraging research at …

Speech recognition systems intended for everyday use must be able to cope with a large
variety of noise types and levels, including highly non-stationary multi-source mixtures. This …

We consider the problem of acoustic modeling of noisy speech data, where the uncertainty
over the data is given by a Gaussian distribution. While this uncertainty has been exploited …