|
About the Project
Eavesdropping is an internet-based, interactive audio system that
explores network mediated, musical performance in shared public
spaces.
In public environments, individuals interact by means of a variety
of bodily and auditory cues and gestures. These ambient
communication techniques can be directed at specific individuals
or may be general expressions of mood meant for anyone who
happens to notice.
Visitors to public spaces, such as a café, seek the passive
awareness of others to achieve a sense of connectedness born of
shared experience, like the audience in a music venue. This project highlights the exhibitionism
and voyeurism in the public sphere by amplifying participants'
moods via music and increasing shared
experiences to encourage deeper interaction.
It aims to develop an environment which
increases audience interaction and connectedness in a localized,
computer-controlled performance.
The system is a client-server
architecture made of three components: (1) an audio preparation
interface, (2) an interactive performance interface, and (3) a
machine learning-based conductor. Musician's have contributed files to represent participants'
moods. Participants input their mood during the performance. An artificial conductor mixes
an acoustic ecology based on mood data. Participants are encouraged
to respond to whether the audio represents the mood they've input. This allows
the system to learn from audience response to more accurately represent participants'
moods.
The link above begins the most recent version of the performance.
Eavesdropping is seeking musical contributors.
Please
contact me for more information.
|