| 2026 | AIME | Automated Behavioral Health Assessment Using Vocal Biomarkers. | Namhee Kwon, Nate Blaylock, Raymond Brueckner, Vinod Subramanian, Henry O'Connell |
| 2023 | Interspeech | Detecting Manifest Huntington's Disease Using Vocal Data. | Vinod Subramanian, Namhee Kwon, Raymond Brueckner, Nate Blaylock, Henry O'Connell, Luis Sierra, Clementina Ullman, Karen Hildebrand, Simon E. Laganiere |
| 2017 | Interspeech | Spotting Social Signals in Conversational Speech over IP: A Deep Learning Perspective. | Raymond Brueckner, Maximilian Schmitt, Maja Pantic, Bjrn W. Schuller |
| 2017 | Interspeech | Earlier Identification of Children with Autism Spectrum Disorder: An Automatic Vocalisation-Based Approach. | Florian B. Pokorny, Bjrn W. Schuller, Peter B. Marschik, Raymond Brueckner, Pr Nystrm, Nicholas Cummins, Sven Blte, Christa Einspieler, Terje Falck-Ytter |
| 2016 | ICASSP | Adieu features? End-to-end speech emotion recognition using a deep convolutional recurrent network. | George Trigeorgis, Fabien Ringeval, Raymond Brueckner, Erik Marchi, Mihalis A. Nicolaou, Bjrn W. Schuller, Stefanos Zafeiriou |
| 2014 | ICASSP | Social signal classification using deep blstm recurrent neural networks. | Raymond Brueckner, Bjrn W. Schuller |
| 2013 | ASRU | Hierarchical neural networks and enhanced class posteriors for social signal classification. | Raymond Brueckner, Bjrn W. Schuller |
| 2012 | Interspeech | Likability Classification - A Not so Deep Neural Network Approach. | Raymond Brueckner, Bjrn W. Schuller |
| 2006 | ICASSP | Discriminatively Trained Context-Dependent Duration-Bigram Models for Korean Digit Recognition. | Daniel Willett, Franz Gerl, Raymond Brueckner |
| 2006 | Interspeech | Experiments on Chinese speech recognition with tonal models and pitch estimation using the Mandarin speecon data. | Ying Sun, Daniel Willett, Raymond Brueckner, Rainer Gruhn, Dirk Bhler |