Eavesdropping is an internet-based, interactive audio system that explores network mediated, musical performance in shared public spaces. The project 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. An artificial conductor mixes an acoustic ecology based on mood data entered by participants while learning from their feedback. Technicalities and early evaluation are presented.