Tools which support artists with the generation of drum
tracks for music productions have gained popularity in recent years. Especially when utilizing digital audio workstations, using e.g. predefined drum loops can speed up drafting a musical idea. However, regarding variation and originality of drum patterns, methods based on generative models would be more suited for this task. In this work we present a drum pattern generation prototype based on a step sequencer interface which allows to explore the suitability of generative adversarial networks for this task.