Reflecting on a decade of Automatic Mixing systems for multitrack music processing, this
paper positions the topic in the wider field of Intelligent Music Production, and seeks to …

Deep learning approaches have demonstrated success in modeling analog audio effects.
Nevertheless, challenges remain in modeling more complex effects that involve time-varying …

This paper explores the digital emulation of analog dynamic range compressors, proposing
a grey-box model that uses a combination of traditional signal processing techniques and …

An intelligent dynamic range compression (DRC) algorithm, using the CA-DAFX processing
architecture, produces the optimal amount of dynamic range for multitrack recordings. The …

Deep learning approaches have demonstrated success in the task of modeling analog
audio effects such as distortion and overdrive. Nevertheless, challenges remain in modeling …

Dynamic range compression is a nonlinear, time dependent audio effect. As such, preferred
parameter settings are difficult to achieve even when there is advance knowledge of the …

The main focus of this article is to explore and investigate the fundamental constraints that
should be at the basis of algorithm development in intelligent audio production systems …

Intelligent Music Production presents the state of the art in approaches, methodologies and
systems from the emerging field of automation in music mixing and mastering. This book …

This paper provides a systematic review of cross-adaptive audio effects and their
applications. These effects extend the boundaries of traditional audio effects by potentially …

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 …