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Serious Gaming for Behavior Change: The State of Play
Found in: IEEE Pervasive Computing
By Bjorn W. Schuller,Ian Dunwell,Felix Weninger,Lucas Paletta
Issue Date:July 2013
pp. 48-55
Serious gaming guides targeted behavior change to improve behaviors in everyday living. This survey of the field focuses on two case studies--one game aims to improve the social behavior of autistic children, and the other helps migrants interact with loca...
YouTube Movie Reviews: Sentiment Analysis in an Audio-Visual Context
Found in: IEEE Intelligent Systems
By Martin Wollmer,Felix Weninger,Tobias Knaup,Bjorn Schuller,Congkai Sun,Kenji Sagae,Louis-Philippe Morency
Issue Date:May 2013
pp. 46-53
This work focuses on automatically analyzing a speaker's sentiment in online videos containing movie reviews. In addition to textual information, this approach considers adding audio features as typically used in speech-based emotion recognition as well as...
The Voice of Leadership: Models and Performances of Automatic Analysis in Online Speeches
Found in: IEEE Transactions on Affective Computing
By Felix Weninger,Jarek Krajewski,Anton Batliner,Björn Schuller
Issue Date:September 2012
pp. 496-508
We introduce the automatic determination of leadership emergence by acoustic and linguistic features in online speeches. Full realism is provided by the varying and challenging acoustic conditions of the presented YouTube corpus of online available speeche...
The acoustics of eye contact: detecting visual attention from conversational audio cues
Found in: Proceedings of the 6th workshop on Eye gaze in intelligent human machine interaction: gaze in multimodal interaction (GazeIn '13)
By Florian Eyben, Björn W. Schuller, Felix Weninger, Lucas Paletta
Issue Date:December 2013
pp. 7-12
An important aspect in short dialogues is attention as is manifested by eye-contact between subjects. In this study we provide a first analysis whether such visual attention is evident in the acoustic properties of a speaker's voice. We thereby introduce t...
Recent developments in openSMILE, the munich open-source multimedia feature extractor
Found in: Proceedings of the 21st ACM international conference on Multimedia (MM '13)
By Björn Schuller, Felix Weninger, Florian Eyben, Florian Gross
Issue Date:October 2013
pp. 835-838
We present recent developments in the openSMILE feature extraction toolkit. Version 2.0 now unites feature extraction paradigms from speech, music, and general sound events with basic video features for multi-modal processing. Descriptors from audio and vi...