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Recently, the importance of reacting to the emotional state of a user has been generally accepted in the field of human-computer interaction and especially speech has received increased focus as a modality from which to automatically deduct information on emotion. So far, mainly not very application-oriented offline studies based on previously recorded and annotated databases with emotional speech were conducted. However, demands of online analysis differ from that of offline analysis, in particular, conditions are more challenging and less predictable. Therefore, this book investigates real-time automatic emotion recognition from acoustic features of speech in several experiments for suitable audio segmenation, feature extraction and classification algorithms. Results lead to the implementation of the Open Source online emotion recognition framework EmoVoice. A further emphasis was set on multimodality and the use of speech emotion recognition in applications.

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Dr.-ing. Thurid Vogt received the diploma and the Ph. D. inComputer Science from Bielefeld University in 2002 and 2010 resp.During that time, she visited Dublin City University and alsoworked for several EU projects at the University of Augsburg.Currently, she is employed as a software developer at BMW AG, Munich.

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