David Philippou-Hübner

According to our database, David Philippou-Hübner authored at least 9 papers between 2010 and 2014.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2014

Investigation of Speaker Group-Dependent Modelling for Recognition of Affective States from Speech.

Ingo Siegert, David Philippou-Hübner, Kim Hartmann, Ronald Böck, Andreas Wendemuth

Cogn. Comput., 2014

2013

Emotion Detection in HCI: From Speech Features to Emotion Space.

Kim Hartmann, Ingo Siegert, David Philippou-Hübner, Andreas Wendemuth

Proceedings of the 12th IFAC/IFIP/IFORS/IEA Symposium on Analysis, 2013

Human Behaviour in HCI: Complex Emotion Detection through Sparse Speech Features.

Ingo Siegert, Kim Hartmann, David Philippou-Hübner, Andreas Wendemuth

Proceedings of the Human Behavior Understanding - 4th International Workshop, 2013

Parameter Optimization Issues for Cross-corpora Emotion Classification.

Bogdan Vlasenko, David Philippou-Hübner, Andreas Wendemuth

Proceedings of the 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction, 2013

2012

The Performance of the Speaking Rate Parameter in Emotion Recognition from Speech.

David Philippou-Hübner, Bogdan Vlasenko, Ronald Böck, Andreas Wendemuth

Proceedings of the 2012 IEEE International Conference on Multimedia and Expo Workshops, 2012

2011

Vowels Formants Analysis Allows Straightforward Detection of High Arousal Acted and Spontaneous Emotions.

Bogdan Vlasenko, Dmytro Prylipko, David Philippou-Hübner, Andreas Wendemuth

Proceedings of the 12th Annual Conference of the International Speech Communication Association, 2011

Vowels formants analysis allows straightforward detection of high arousal emotions.

Bogdan Vlasenko, David Philippou-Hübner, Dmytro Prylipko, Ronald Böck, Ingo Siegert, Andreas Wendemuth

Proceedings of the 2011 IEEE International Conference on Multimedia and Expo, 2011

Appropriate emotional labelling of non-acted speech using basic emotions, geneva emotion wheel and self assessment manikins.

Ingo Siegert, Ronald Böck, Bogdan Vlasenko, David Philippou-Hübner, Andreas Wendemuth

Proceedings of the 2011 IEEE International Conference on Multimedia and Expo, 2011

2010

Determining optimal features for emotion recognition from speech by applying an evolutionary algorithm.

David Philippou-Hübner, Bogdan Vlasenko, Tobias Grosser, Andreas Wendemuth

Proceedings of the 11th Annual Conference of the International Speech Communication Association, 2010