| dc.description.abstract | This thesis presents research on several independent systems that when
combined together can generate an automatic sound mix out of an unknown set
of multi‐channel inputs. The research explores the possibility of reproducing
the mixing decisions of a skilled audio engineer with minimal or no human
interaction. The research is restricted to non‐time varying mixes for large room
acoustics. This research has applications in dynamic sound music concerts,
remote mixing, recording and postproduction as well as live mixing for
interactive scenes.
Currently, automated mixers are capable of saving a set of static mix
scenes that can be loaded for later use, but they lack the ability to adapt to a
different room or to a different set of inputs. In other words, they lack the
ability to automatically make mixing decisions. The automatic mixer research
depicted here distinguishes between the engineering mixing and the subjective
mixing contributions. This research aims to automate the technical tasks related
to audio mixing while freeing the audio engineer to perform the fine‐tuning
involved in generating an aesthetically‐pleasing sound mix. Although the
system mainly deals with the technical constraints involved in generating an
audio mix, the developed system takes advantage of common practices
performed by sound engineers whenever possible. The system also makes use
of inter‐dependent channel information for controlling signal processing tasks
while aiming to maintain system stability at all times. A working
implementation of the system is described and subjective evaluation between a
human mix and the automatic mix is used to measure the success of the
automatic mixing tools. | en_US |
