Audio bandwidth extension involves the realistic reconstruction of
high-...
The sound of magnetic recording media, such as open-reel and cassette ta...
Audio inpainting aims to reconstruct missing segments in corrupted
recor...
A deep neural network solution for time-scale modification (TSM) focused...
We propose an audio effects processing framework that learns to emulate ...
This paper presents CQT-Diff, a data-driven generative audio model that ...
The decomposition of sounds into sines, transients, and noise is a
long-...
Recent research in deep learning has shown that neural networks can lear...
Audio bandwidth extension aims to expand the spectrum of narrow-band aud...
Enhancing the sound quality of historical music recordings is a long-sta...
The reproduction of acoustics is an important aspect of the preservation...
This work investigates alternate pre-emphasis filters used as part of th...
Analog audio effects and synthesizers often owe their distinct sound to
...