We describe the " Multimodal Person Discovery in Broadcast TV " task of MediaEval 2016 benchmarking initiative. Participants are asked to return the names of people who can be both seen as well as heard in every shot of a collection of videos. The list of people is not known a priori and their names has to be discovered in an unsupervised way from media content using text overlay or speech transcripts for the primary runs. The task is evaluated using information retrieval metrics, based on a posteriori collaborative annotation of the test corpus.