His Quantum mechanics study has been linked to subjects such as Valence (chemistry) and Term (time). As part of his studies on Term (time), he frequently links adjacent subjects like Quantum mechanics. His Artificial intelligence study frequently draws connections between related disciplines such as Advanced driver assistance systems. Many of his studies on Advanced driver assistance systems involve topics that are commonly interrelated, such as Artificial intelligence. His research on Context (archaeology) frequently links to adjacent areas such as Paleontology. In most of his Paleontology studies, his work intersects topics such as Context (archaeology). His Multimedia study frequently draws connections between related disciplines such as Audio visual. Many of his studies on Audio visual involve topics that are commonly interrelated, such as Multimedia. His research combines Emotion detection and Speech recognition.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Opensmile: the munich versatile and fast open-source audio feature extractor
Florian Eyben;Martin Wöllmer;Björn Schuller.
acm multimedia (2010)
OpenEAR — Introducing the munich open-source emotion and affect recognition toolkit
Florian Eyben;Martin Wollmer;Bjorn Schuller.
affective computing and intelligent interaction (2009)
Abandoning Emotion Classes - Towards Continuous Emotion Recognition with Modelling of Long-Range Dependencies
Martin Wöllmer;Florian Eyben;Stephan Reiter;Björn W. Schuller.
conference of the international speech communication association (2008)
Cross-Corpus Acoustic Emotion Recognition: Variances and Strategies
B Schuller;B Vlasenko;F Eyben;Martin Wöllmer.
IEEE Transactions on Affective Computing (2010)
YouTube Movie Reviews: Sentiment Analysis in an Audio-Visual Context
M. Wollmer;F. Weninger;T. Knaup;B. Schuller.
IEEE Intelligent Systems (2013)
LSTM-Modeling of continuous emotions in an audiovisual affect recognition framework
Martin WöLlmer;Moritz Kaiser;Florian Eyben;BjöRn Schuller.
Image and Vision Computing (2013)
Building Autonomous Sensitive Artificial Listeners
M. Schroder;E. Bevacqua;R. Cowie;F. Eyben.
IEEE Transactions on Affective Computing (2012)
Being bored? Recognising natural interest by extensive audiovisual integration for real-life application
Björn Schuller;Ronald Müller;Florian Eyben;Jürgen Gast.
Image and Vision Computing (2009)
Context-Sensitive Multimodal Emotion Recognition from Speech and Facial Expression using Bidirectional LSTM Modeling
Martin Wöllmer;Angeliki Metallinou;Florian Eyben;Björn W. Schuller.
conference of the international speech communication association (2010)
Context-Sensitive Learning for Enhanced Audiovisual Emotion Classification
A. Metallinou;M. Wollmer;A. Katsamanis;F. Eyben.
IEEE Transactions on Affective Computing (2012)
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