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In this paper, we study the impact of considering context information for the annotation of emotions. Concretely, we propose the inclusion of the history of user-system interaction and the neutral speaking style of users. A new method to automatically include both sources of information has been developed making use of novel techniques for acoustic normalization and dialogue context annotation. We have carried out experiments with a corpus extracted from real human interactions with a spokendoi:10.1016/j.specom.2008.01.001 fatcat:3jpm2avtejfltelqj5sjjb2fkq