Self-supervised learning (SSL) is the latest breakthrough in speech
proc...
Humans can listen to a target speaker even in challenging acoustic condi...
Although recent advances in deep learning technology have boosted automa...
Recently, the performance of blind speech separation (BSS) and target sp...
We propose a novel framework for target speech extraction based on seman...
Target speech extraction is a technique to extract the target speaker's ...
Beamforming is a powerful tool designed to enhance speech signals from t...
Target speech extraction (TSE) extracts the speech of a target speaker i...
In many situations, we would like to hear desired sound events (SEs) whi...
It is challenging to improve automatic speech recognition (ASR) performa...
The combination of a deep neural network (DNN) -based speech enhancement...
In typical multi-talker speech recognition systems, a neural network-bas...
Target sound extraction consists of extracting the sound of a target aco...
Sound event localization aims at estimating the positions of sound sourc...
Although recent advances in deep learning technology improved automatic
...
Sound event localization frameworks based on deep neural networks have s...
Estimating the positions of multiple speakers can be helpful for tasks l...
Recently, the end-to-end approach has been successfully applied to
multi...
Target speaker extraction, which aims at extracting a target speaker's v...
Target speech extraction, which extracts the speech of a target speaker ...
Developing microphone array technologies for a small number of microphon...
Time-domain training criteria have proven to be very effective for the
s...
Being able to control the acoustic events (AEs) to which we want to list...
With the advent of deep learning, research on noise-robust automatic spe...
Target speech extraction, which extracts a single target source in a mix...
This paper introduces a new open source platform for end-to-end speech
p...
The field of speech recognition is in the midst of a paradigm shift:
end...
We examine the effect of the Group Lasso (gLasso) regularizer in selecti...