Title :
Multimodal real-time conversation analysis using a novel process engine
Author :
Scherer, Stefan ; Fritzsch, Volker ; Schwenker, Friedhelm
Author_Institution :
Inst. of Neural Inf. Process., Ulm Univ., Ulm, Germany
Abstract :
This contribution introduces a software framework enabling researchers to develop real-time pattern recognition and sensor fusion applications in an abstraction level above that of common programming languages in order to reduce and minimize programming errors and technical obstacles. Furthermore, a proof of concept using two separate instances of the process engine on different computers with audiovisual data processing is described. The scenario shows the capability of the engine to process data in realtime and synchronously on multiple machines, which are necessary features in large scale projects.
Keywords :
pattern recognition; sensor fusion; speech processing; speech-based user interfaces; audiovisual data processing; multimodal real-time conversation analysis; process engine; programming languages; real-time pattern recognition; sensor fusion; software framework; Application software; Automatic speech recognition; Data processing; Emotion recognition; Engines; Information analysis; Java; Pattern analysis; Pattern recognition; Prototypes;
Conference_Titel :
Affective Computing and Intelligent Interaction and Workshops, 2009. ACII 2009. 3rd International Conference on
Conference_Location :
Amsterdam
Print_ISBN :
978-1-4244-4800-5
Electronic_ISBN :
978-1-4244-4799-2
DOI :
10.1109/ACII.2009.5349519