Audio representations for deep learning in sound synthesis: A review. (arXiv:2201.02490v1 [cs.SD])

The rise of deep learning algorithms has led many researchers to withdraw
from using classic signal processing methods for sound generation. Deep
learning models have achieved expressive voice synthesis, realistic sound
textures, and musical notes from virtual instruments. However, the most
suitable deep learning architecture is still under investigation. The choice of
architecture is tightly coupled to the audio representations. A sound's
original waveform can be too dense and rich for deep learning models to deal
with efficiently - and …

arxiv audio deep learning learning review