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In this paper we apply the promising iVector extraction technique followed by PLDA modeling to simple prosodic contour features. With this procedure we achieve results comparable to a system that models much more complex prosodic features using our recently proposed SMM-based iVector modeling technique. We then propose a combination of both prosodic iVectors by joint PLDA modeling that leads to significant improvements over individual systems with an EER of 5.4% on NIST SRE 2008 telephone data. Finally, we can combine these two prosodic iVector front ends with a baseline cepstral iVector system to achieve up to 21% relative reduction in new DCF.