In this study, we present an approach to train a single speech enhanceme...
In this work, we propose Exformer, a time-domain architecture for target...
In real life, room effect, also known as room reverberation, and the pre...
Singing voice separation aims to separate music into vocals and accompan...
Audio codecs based on discretized neural autoencoders have recently been...
Neural network applications generally benefit from larger-sized models, ...
Supervised deep learning has gained significant attention for speech
enh...
We present enhancements to a speech-to-speech translation pipeline in or...
We propose a novel method called the Relevance Subject Machine (RSM) to ...
We study the sparse non-negative least squares (S-NNLS) problem. S-NNLS
...