Lyrics alignment gained considerable attention in recent years.
State-of...
Disentangled sequential autoencoders (DSAEs) represent a class of
probab...
In recent years, the accuracy of automatic lyrics alignment methods has
...
Convolutional neural networks (CNNs) with dilated filters such as the Wa...
Generative adversarial networks (GANs) have shown great success in
appli...
Time-aligned lyrics can enrich the music listening experience by enablin...
Models for audio source separation usually operate on the magnitude spec...
A main challenge in applying deep learning to music processing is the
av...
A major goal in blind source separation to identify and separate sources...
The state of the art in music source separation employs neural networks
...
A central goal in automatic music transcription is to detect individual ...