The term “differentiable digital signal processing” describes a family of techniques in which
loss function gradients are backpropagated through digital signal processors, facilitating …

Audio effects are an essential tool that the field of music production relies upon. The ability to
intentionally manipulate and modify a piece of sound has opened up considerable …

Current sound-based practices and systems developed in both academia and industry point
to convergent research trends that bring together the field of sound and music Computing …

We present a framework that can impose the audio effects and production style from one
recording to another by example with the goal of simplifying the audio production process …

Applications of deep learning to automatic multitrack mixing are largely unexplored. This is
partly due to the limited available data, coupled with the fact that such data is relatively …

We present a data-driven approach to automate audio signal processing by incorporating
stateful third-party, audio effects as layers within a deep neural network. We then train a …

Music mixing traditionally involves recording instruments in the form of clean, individual
tracks and blending them into a final mixture using audio effects and expert knowledge (eg …

We propose an end-to-end music mixing style transfer system that converts the mixing style
of an input multitrack to that of a reference song. This is achieved with an encoder pre …

The development of intelligent music production tools has been of growing interest in recent
years. Deep learning approaches have been shown as being a highly effective method for …

Mixing music, or music production, is the process of combining a series of different musical
tracks together, while applying a range of audio processing to blend the tracks together in a …