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Björn Schuller
Björn Schuller
Technische Universitaet Muenchen
Key research interests:

Provision of tools to the community, as the open Emotion and Affect Recognition Toolkit ("openEAR"), Multimodal Recognition of Emotion, foremostly by speech and text analysis, Affect-robust Automatic Speech Recognition, Recognition of Non-linguistic Vocalisations as laughter, Mood in Music, novel machine learning architectures (e.g. Tandem BLSTM-DBN), novel feature types as by non-negative matrix factorization, standardization issues.
I am a Senior Lecturer in Pattern Recognition and Speech Processing heading the Intelligent Audio Analysis Group at TUM’s Institute for Human-Machine Communication since 2006. From 2009 to 2010 I lived in Paris/France and was with the CNRS-LIMSI Spoken Language Processing Group in Orsay/France dealing with affective and social signals in speech. In 2010 I was also a visiting scientist in the Imperial College London's Department of Computing in London/UK working on audiovisual behaviour recognition. In 2011 I was guest lecturer at the Università Politecnica delle Marche (UNIVPM) in Ancona/Italy and visiting researcher of NICTA in Sydney/Australia. Since 2000 I am working in the field of Emotion Recognition, since 2007 I am elected member of the HUMAINE Association Executive Committee, and since 2012 president-elect of the Association. Currently, I am also running the Special Interest Group on Emotion Recognition from Speech (SIG-Speech), am a member and secretary of our Transactions on Affective Computing steering committee, and associate and repeated guest editor for the Computer Speech and Language, associate editor for the IEEE Transactions on Systems, Man and Cybernetics: Part B Cybernetics and the IEEE Transactions on Neural Networks and Learning Systems, and guest editor for the IEEE Intelligent Systems Magazine, Speech Communication, Image and Vision Computing, Cognitive Computation, and the EURASIP Journal on Advances in Signal Processing, reviewer for more than 40 leading journals and 30 conferences in the field, and workshop and challenge organizer including the first of their kind INTERSPEECH 2009 Emotion, 2010 Paralinguistic, 2011 Speaker State, and 2012 Speaker Trait Challenges and the 2011 and 2012 Audio/Visual Emotion Challenge and Workshop and programme committee member of more than 30 international workshops and conferences. I am also coordinator of the European Community funded ASC-Inclusion project that aims to help children with autism spectrum condition to improve their socio-emotional skills by digital serious gaming. My research team was further part of the awarded SEMAINE project, and I steered projects dealing with Affective Computing funded by the German Research Foundation (DFG) and companies such as BMW, Continental, Daimler, Siemens, Toyota, and VDO. Advisory board activities further comprise my membership as invited expert in the W3C Emotion Incubator and Emotion Markup Language Incubator Groups.

Current topics of my research interests are:

  • Provision of tools to the community, as the open Emotion and Affect Recognition Toolkit ("openEAR").
  • Multimodal Recognition of Emotion, foremostly by speech and text analysis
  • Affect-robust Automatic Speech Recognition
  • Recognition of non-linguistic vocalisations as laughter
  • Mood in Music and Sound
  • Novel machine learning architectures (e.g., Tandem BLSTM-DBN).

Please feel free to contact me via schuller at or schuller at or find more details about my more than 270 publications, and reviewing, program committee, and general membership activities here.

Some Selected Recent Publications:

  • Björn Schuller, Anton Batliner: "Computational Paralinguistics: Emotion, Affect and Personality in Speech and Language Processing", to appear, Wiley, 2012.
  • Björn Schuller: "The Computational Paralinguistics Challenge", IEEE Signal Processing Magazine, IEEE, Vol. 29, Issue 4, 5 pages, July 2012.
  • Björn Schuller: "Voice and Speech Analysis in Search of States and Traits", in Computer Analysis of Human Behavior, Albert Ali Salah, Theo Gevers (eds.), Advances in Pattern Recognition, Springer, pp. 227-253, 2011.
  • Björn Schuller: "Recognizing Affect from Linguistic Information in 3D Continuous Space", IEEE Transactions on Affective Computing, IEEE, 15 pages, 2012.
  • Björn Schuller, Anton Batliner, Stefan Steidl, Dino Seppi: "Recognising Realistic Emotions and Affect in Speech: State of the Art and Lessons Learnt from the First Challenge", Speech Communication, ELSEVIER, Vol. 53, No. 9/10, pp. 1062-1087, November/December 2011.
  • Björn Schuller, Bogdan Vlasenko, Florian Eyben, Martin Wöllmer, André Stuhlsatz, Andreas Wendemuth, Gerhard Rigoll: "Cross-Corpus Acoustic Emotion Recognition: Variances and Strategies", IEEE Transactions on Affective Computing, IEEE, Vol. 1, No. 2, pp. 119-131, July-December 2010.
  • Björn Schuller, Clemens Hage, Dagmar Schuller, Gerhard Rigoll: "'Mister D.J., Cheer Me Up!': Musical and Textual Features for Automatic Mood Classification", Journal of New Music Research, Routledge Taylor & Francis Group, Vol. 39, No. 1, pp. 13-34, 2010.
  • Björn Schuller, Ronald Müller, Florian Eyben, Jürgen Gast, Benedikt Hörnler, Martin Wöllmer, Gerhard Rigoll, Anja Höthker, Hitoshi Konosu: "Being Bored? Recognising Natural Interest by Extensive Audiovisual Integration for Real-Life Application", Image and Vision Computing, ELSEVIER, Vol. 27, Issue 12, pp. 1760-1774, November 2009.
  • Angeliki Metallinou, Martin Wöllmer, Athanasios Katsamanis, Florian Eyben, Björn Schuller, Shrikanth Narayanan: "Context-Sensitive Learning for Enhanced Audiovisual Emotion Classification", IEEE Transactions on Affective Computing, IEEE, 14 pages, 2011.
  • Martin Wöllmer, Björn Schuller, Florian Eyben, Gerhard Rigoll: "Combining Long Short-Term Memory and Dynamic Bayesian Networks for Incremental Emotion-Sensitive Artificial Listening", IEEE Journal of Selected Topics in Signal Processing, IEEE, vol. 4, no. 5, pp. 867-881, October 2010.
  • Anton Batliner, Stefan Steidl, Björn Schuller, Dino Seppi, Thurid Vogt, Johannes Wagner, Laurence Devillers, Laurence Vidrascu, Vered Aharonson, Loic Kessous, Noam Amir: "Whodunnit - Searching for the Most Important Feature Types Signalling Emotion-Related User States in Speech", Computer Speech and Language, ELSEVIER, vol. 25, issue 1, pp. 4-28, 2011.
  • Florian Eyben, Martin Wöllmer, Alex Graves, Björn Schuller, Ellen Douglas-Cowie, Roddy Cowie: "On-line Emotion Recognition in a 3-D Activation-Valence-Time Continuum using Acoustic and Linguistic Cues", Journal on Multimodal User Interfaces, Springer, Berlin/Heidelberg, ISSN 1783-7677, vol. 3, no. 1-2, pp. 7-12, March 2010.
  • Marc Schröder, Elisabetta Bevacqua, Roddy Cowie, Florian Eyben, Hatice Gunes, Dirk Heylen, Mark ter Maat, Gary McKeown, Sathish Pammi, Maja Pantic, Catherine Pelachaud, Björn Schuller, Etienne de Sevin, Michel Valstar, Martin Wöllmer : "Building Autonomous Sensitive Artificial Listeners", IEEE Transactions on Affective Computing, IEEE, 20 pages, 2012.
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