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This paper describes the general specifications and characteristics of the New Italian Audio and Video Emotional Database, collected to improve the COST 2102 Italian Audio and Video Emotional Database [28] and to support the research effort of the COST Action 2102: “Cross Modal Analysis of Verbal and Nonverbal Communication” (http://cost2102.cs.stir.ac.uk/). The database should allow the cross-modal analysis of audio and video recordings for defining distinctive, multi-modal emotional features, and identify emotional states from multimodal signals. Emphasis is placed on stimuli selection procedures, theoretical and practical aspects for stimuli identification, characteristics of selected stimuli and progresses in their assessment and validation.