DIRAC: Detection and Identification of Rare Audio-Visual Events

The DIRAC project was an integrated project that was carried out between January 1st 2006 and December 31st 2010. It was funded by the European Commission within the Sixth Framework Research Programme (FP6) under contract number IST-027787. Ten partners joined forces to investigate the concept of rare events in machine and cognitive systems, and developed multi-modal technology to identify such events and deal with them in audio-visual applications.

[1]  Roman Grundkiewicz,et al.  Automatic Extraction of Polish Language Errors from Text Edition History , 2013, TSD.

[2]  R. Vogels,et al.  Discrimination of locomotion direction in impoverished displays of walkers by macaque monkeys. , 2009, Journal of vision.

[3]  Lukás Burget,et al.  Similarity scoring for recognizing repeated out-of-vocabulary words , 2010, INTERSPEECH.

[4]  Joris Vangeneugden,et al.  Distinct Mechanisms for Coding of Visual Actions in Macaque Temporal Cortex , 2011, The Journal of Neuroscience.

[5]  R. Vogels,et al.  Effects of Category Learning on the Stimulus Selectivity of Macaque References , 2022 .

[6]  Geoffrey Zweig,et al.  Confidence estimation, OOV detection and language ID using phone-to-word transduction and phone-level alignments , 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

[7]  Hynek Hermansky,et al.  Recovery of Rare Words in Lecture Speech , 2010, TSD.

[8]  Luc Van Gool,et al.  Discrimination of Locomotion Direction at Different Speeds: A Comparison between Macaque Monkeys and Algorithms , 2012, Detection and Identification of Rare Audiovisual Cues.

[9]  Lukás Burget,et al.  Recurrent neural network based language model , 2010, INTERSPEECH.

[10]  Hynek Hermansky,et al.  Detection of out-of-vocabulary words in posterior based ASR , 2007, INTERSPEECH.

[11]  Barbara Caputo,et al.  The More You Know, the Less You Learn: From Knowledge Transfer to One-shot Learning of Object Categories , 2009, BMVC.

[12]  Barbara Caputo,et al.  An Online Framework for Learning Novel Concepts over Multiple Cues , 2009, ACCV.

[13]  Birger Kollmeier,et al.  Modulation-based detection of speech in real background noise: Generalization to novel background classes , 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

[14]  Frank W. Ohl,et al.  NEURODYNAMICS OF CATEGORY LEARNING: TOWARDS UNDERSTANDING THE CREATION OF MEANING IN THE BRAIN , 2009 .

[15]  Bernhard Sendhoff,et al.  Creating Brain-Like Intelligence , 2009, Creating Brain-Like Intelligence.

[16]  Giulio Sandini,et al.  Towards Life-long Learning for Cognitive Systems: Online Independent Support Vector Machine , 2009 .

[17]  Hynek Hermansky,et al.  Combination of strongly and weakly constrained recognizers for reliable detection of OOVS , 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

[18]  Francesco Orabona,et al.  Indoor Place Recognition using Online Independent Support Vector Machines , 2007, BMVC.

[19]  R. Vogels,et al.  Properties of shape tuning of macaque inferior temporal neurons examined using rapid serial visual presentation. , 2007, Journal of neurophysiology.

[20]  J. Weesie,et al.  Integration of visual and inertial cues in perceived heading of self-motion. , 2010, Journal of vision.

[21]  Barbara Caputo,et al.  The projectron: a bounded kernel-based Perceptron , 2008, ICML '08.

[22]  Francesco Orabona,et al.  A theoretical framework for transfer of knowledge across modalities in artificial and biological systems , 2009, 2009 IEEE 8th International Conference on Development and Learning.

[23]  Hynek Hermansky,et al.  Dealing with Unexpected Words in Automatic Recognition of Speech , 2011, TSD.

[24]  Barbara Caputo,et al.  Bounded Kernel-Based Online Learning , 2009, J. Mach. Learn. Res..

[25]  Jörn Anemüller,et al.  Detecting novel objects in acoustic scenes through classifier incongruence , 2010, INTERSPEECH.

[26]  R. Vogels,et al.  Effects of adaptation on the stimulus selectivity of macaque inferior temporal spiking activity and local field potentials. , 2010, Cerebral cortex.

[27]  Luc Van Gool,et al.  Tracker trees for unusual event detection , 2009, 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops.

[28]  Volker Hohmann,et al.  Database of Multichannel In-Ear and Behind-the-Ear Head-Related and Binaural Room Impulse Responses , 2009, EURASIP J. Adv. Signal Process..

[29]  Giulio Sandini,et al.  On-line independent support vector machines , 2010, Pattern Recognit..

[30]  R. Vogels,et al.  Functional differentiation of macaque visual temporal cortical neurons using a parametric action space. , 2009, Cerebral cortex.

[31]  Joris Vangeneugden,et al.  Stimulus Similarity-Contingent Neural Adaptation Can Be Time and Cortical Area Dependent , 2008, The Journal of Neuroscience.

[32]  Barbara Caputo,et al.  Bounded kernel-based perceptrons , 2009 .

[33]  Christoph S. Herrmann,et al.  Cognitive Adequacy in Brain-Like Intelligence , 2009, Creating Brain-Like Intelligence.

[34]  Barbara Caputo,et al.  Online-batch strongly convex Multi Kernel Learning , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[35]  Barbara Caputo,et al.  Using Object Affordances to Improve Object Recognition , 2011, IEEE Transactions on Autonomous Mental Development.

[36]  Hynek Hermansky,et al.  Posterior-based out of vocabulary word detection in telephone speech , 2009, INTERSPEECH.