Raymond Brueckner

Publication Activity (10 Years)

Years Active: 2006-2023
Publications (10 Years): 6

Top Topics

Online Training

Autism Spectrum Disorder

Conversational Speech

Top Venues

IEEE Trans. Affect. Comput.

Publications

Vinod Subramanian, Namhee Kwon, Raymond Brueckner, Nate Blaylock, Henry O'Connell, Luis Sierra, Clementina Ullman, Karen Hildebrand, Simon E. Laganiere
Detecting Manifest Huntington's Disease Using Vocal Data. INTERSPEECH (2023)
Tobias Oetermann, Pia S. C. Dautzenberg, Gudrun Voß, Christopher Brockmeier, Stefan Ladwig, Patrick Gebhard, Tanja Schneeberger, Markus Funk, Raymond Brueckner, Felix Schäfer, Norbert Helff, Andreas Gomer, Lutz Eckstein
EMMI: Empathic Human-Machine Interaction for Establishing Trust in Automated Driving. CoRR (2022)
Florian Lingenfelser, Johannes Wagner, Jun Deng, Raymond Brueckner, Björn W. Schuller, Elisabeth André
Asynchronous and Event-Based Fusion Systems for Affect Recognition on Naturalistic Data in Comparison to Conventional Approaches. IEEE Trans. Affect. Comput. 9 (4) (2018)
Raymond Brueckner, Maximilian Schmitt, Maja Pantic, Björn W. Schuller
Spotting Social Signals in Conversational Speech over IP: A Deep Learning Perspective. INTERSPEECH (2017)
Florian B. Pokorny, Björn W. Schuller, Peter B. Marschik, Raymond Brueckner, Pär Nyström, Nicholas Cummins, Sven Bölte, Christa Einspieler, Terje Falck-Ytter
Earlier Identification of Children with Autism Spectrum Disorder: An Automatic Vocalisation-Based Approach. INTERSPEECH (2017)
George Trigeorgis, Fabien Ringeval, Raymond Brueckner, Erik Marchi, Mihalis A. Nicolaou, Björn W. Schuller, Stefanos Zafeiriou
Adieu features? End-to-end speech emotion recognition using a deep convolutional recurrent network. ICASSP (2016)
Raymond Brueckner, Björn W. Schuller
Social signal classification using deep blstm recurrent neural networks. ICASSP (2014)
Raymond Brueckner, Björn W. Schuller
Hierarchical neural networks and enhanced class posteriors for social signal classification. ASRU (2013)
Raymond Brueckner, Björn W. Schuller
Likability Classification - A Not so Deep Neural Network Approach. INTERSPEECH (2012)
Daniel Vásquez, Rainer Gruhn, Raymond Brueckner, Wolfgang Minker
Comparing Linear Feature Space Transformations for Correlated Features. PIT (2008)
Ying Sun, Daniel Willett, Raymond Brueckner, Rainer Gruhn, Dirk Bühler
Experiments on Chinese speech recognition with tonal models and pitch estimation using the Mandarin speecon data. INTERSPEECH (2006)
Jochen Schwenninger, Raymond Brueckner, Daniel Willett, Marcus E. Hennecke
Language Identification in Vocal Music. ISMIR (2006)
Daniel Willett, Franz Gerl, Raymond Brueckner
Discriminatively Trained Context-Dependent Duration-Bigram Models for Korean Digit Recognition. ICASSP (1) (2006)