Recorded music is as different to live music as film is to theatre. In this book, Simon Zagorski-
Thomas employs current theories from psychology and sociology to examine how recorded …

Musical metacreation (MuMe), also known as musical computational creativity, is a subfield
of computational creativity that focuses on endowing machines with the ability to achieve …

Large Language Models (LLMs) have shown great promise in integrating diverse expert
models to tackle intricate language and vision tasks. Despite their significance in advancing …

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 …

Generating continuous f0 annotations for tasks such as melody extraction and multiple f0
estimation typically involves running a monophonic pitch tracker on each track of a multitrack …

Music production technology has made few advancements over the past few decades. State-
of-the-art approaches are based on traditional studio paradigms with new developments …

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

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 …