In this paper, we present the Idiap Research Institute submission to the 2012 NIST Speaker Recognition Evaluation. Our system is based on the Inter-Session Variability (ISV) modelling technique. The implementation of the system relies on Bob, a free signal processing and machine learning toolbox developed at Idiap. The NIST official results show the effectiveness of the proposed approach, especially on added noise data.