Machine learning with Ableton Live
Giuseppe La Torre · Arrow@dit (Dublin Institute of Technology) · 2014
This paper presents and describes the features of a new M4L module for Ableton Live which enables basic gesture tracking and mapping. The module is based on the gesture-follower patch of the IRCAM’s FTM library and it makes use of the native capabilities of the Live API. The mapping between the gestures and audible output is designed within the module and it enables the simultaneous control of macro features of the Ableton interface such as clip selection, volume and panning of the track/s.