Origins:
Initiated for the 2000 Next Wave Festival, the City Frequencies Project, a day in the life of the Melbourne's CBD (city), was recorded and mapped out with a four speaker sound system set up in the lower Melbourne Town Hall.

Following on from that was a narrowing of the scope of the environment focussing on the inner city cafe as a suitably interesting location to record the conversations of Melburnites. This project ran over several years from 2003 under the name of Cafe Voyeur.

An ongoing project under the name of Random Acts of Elevator Music changes the involvement in the city environment to one of active participant through the playing of live music in elevators.

During 2012-16 City Frequencies developed a few audio apps for release. The first release for Android is called Elevator 17 and documents the 2006 Fringe Festival tour with a live performance recorded from inside the 17th elevator we visited. Photos from the build and subsequent tour phase are included as a slide show. The second release is a synth module called IMS5 that has an 8-step sequencer, octave multiplier, saw oscillator, basic ADSR controls, filter/delay/phaser controls and interface types of sliders, buttons and some XY trackpads.

Latest:
From 2017 City Frequencies partnered with Yale Privacy Lab to research, investigate and explore the use of audio in surveillance capitalism. The project has released a counter-surveillance app under the name PilferShush on the free and open source Android app repository F-Droid as well as Google Play.The open source app, hosted on github, focuses on researching the near-ultra high frequency signals (18kHz - 22kHz) transmitted from beacons, music streaming, television and many other audio sources and potential methods of jamming them, including a passive blocking of unwanted microphone use and other more active audio transmission methods. More info on the project page.

2021 (post-pandemic) and City Frequencies continues to investigate the use of audio in the urban environment from the machine listening of "voice assistants" to the automatic content recognition of "smart televisions".