In this study, we present an approach to train a single speech enhanceme...
GAN vocoders are currently one of the state-of-the-art methods for build...
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...
As deep speech enhancement algorithms have recently demonstrated capabil...
Singing voice separation aims to separate music into vocals and accompan...
Neural vocoders have recently demonstrated high quality speech synthesis...
Neural speech synthesis models can synthesize high quality speech but
ty...
Automatic speech recognition (ASR) in the cloud allows the use of larger...
Audio codecs based on discretized neural autoencoders have recently been...
Neural network applications generally benefit from larger-sized models, ...
The voice mode of the Opus audio coder can compress wideband speech at b...
Neural speech synthesis algorithms are a promising new approach for codi...
Neural speech synthesis models have recently demonstrated the ability to...
Despite noise suppression being a mature area in signal processing, it
r...
This paper describes a technique for performing intra prediction of the
...