In this paper, we explore an improved framework to train a monoaural neu...
Non-intrusive intelligibility prediction is important for its applicatio...
An accurate objective speech intelligibility prediction algorithms is of...
End-to-end models have achieved significant improvement on automatic spe...
Video compression is a central feature of the modern internet powering
t...
In this paper, we introduce a novel semi-supervised learning framework f...
Current hearing aids normally provide amplification based on a general
p...
Hearing aids are expected to improve speech intelligibility for listener...
In this paper, we ask whether vocal source features (pitch, shimmer, jit...
In this paper, we present a novel multi-channel speech extraction system...
This paper introduces a new method for multi-channel time domain speech
...
Following the success of the 1st, 2nd, 3rd, 4th and 5th CHiME challenges...
We present an approach for high-resolution video frame prediction by
con...
Human auditory cortex excels at selectively suppressing background noise...
The CHiME challenge series aims to advance robust automatic speech
recog...
In this work we introduce malware detection from raw byte sequences as a...