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We present the second Audio-Visual Emotion recognition Challenge and workshop (AVEC 2012), which aims to bring together researchers from the audio and video analysis communities around the topic of emotion recognition. The goal of the challenge is to recognise four continuously valued affective dimensions: arousal, expectancy, power, and valence. There are two sub-challenges: in the Fully Continuous Sub-Challenge participants have to predict the values of the four dimensions at every moment during the recordings, while for the Word-Level Sub-Challenge a single prediction has to be given per word uttered by the user. This paper presents the challenge guidelines, the common data used, and the performance of the baseline system on the two tasks.