ABSTRACT
Accumulative Intelligent Music Production (IMP) tools store a converging data value which improves in accuracy proportionally to the amount and distribution of data received. Dynamic IMP tools make use of features that can be extracted quickly in order to drive data control processing parameters in real time. Working implementations are described and comparative subjective evaluation of mixes has been used to measure the success of IMP tools. Many IMP tools aim to make objective technical decisions. IMP systems that exploit the power of convolutional neural networks have been deployed for solving the problems of automatic mixing and equalization. For live performance mixing, an automatic system must avoid undesired artefacts caused by acoustic feedback. Knowledge engineering is an approach to intelligent or expert system design that seeks to integrate human knowledge into computer systems in order to solve challenging problems that normally would require a high level of human expertise.
