| Adieu features? end-to-end speech emotion recognition using a deep convolutional recurrent network G Trigeorgis, F Ringeval, R Brueckner, E Marchi, MA Nicolaou, B Schuller, ... 2016 IEEE international conference on acoustics, speech and signal …, 2016 | 1140 | 2016 |
| Speech-driven selection of an audio file FS Gerl, D Willett, R Brueckner US Patent 7,842,873, 2010 | 255 | 2010 |
| System and method enabling acoustic barge-in J Junkawitsch, R Bruckner, K Reinhard, S Dobler US Patent 7,392,188, 2008 | 105 | 2008 |
| Social signal classification using deep BLSTM recurrent neural networks R Brueckner, B Schulter 2014 IEEE international conference on acoustics, speech and signal …, 2014 | 101 | 2014 |
| Earlier identification of children with autism spectrum disorder: An automatic vocalisation-based approach FB Pokorny, B Schuller, PB Marschik, R Brueckner, P Nyström, ... | 69 | 2017 |
| Likability Classification--A not so Deep Neural Network Approach R Brueckner, B Schuller Proceedings INTERSPEECH 2012, 13th Annual Conference of the International …, 2012 | 41 | 2012 |
| Language Identification in Vocal Music. J Schwenninger, R Brueckner, D Willett, ME Hennecke ISMIR, 377-379, 2006 | 27 | 2006 |
| Method and device for generating an adapted reference for automatic speech recognition S Dobler, A Kiessling, R Schleifer, R Brückner US Patent 6,961,702, 2005 | 27 | 2005 |
| Hierarchical neural networks and enhanced class posteriors for social signal classification R Brueckner, B Schuller 2013 IEEE Workshop on Automatic Speech Recognition and Understanding, 362-367, 2013 | 23 | 2013 |
| Asynchronous and event-based fusion systems for affect recognition on naturalistic data in comparison to conventional approaches F Lingenfelser, J Wagner, J Deng, R Brueckner, B Schuller, E André IEEE Transactions on Affective Computing 9 (4), 410-423, 2016 | 21 | 2016 |
| Speech recognition based on a multilingual acoustic model R Gruhn, M Raab, R Brueckner US Patent 8,301,445, 2012 | 19 | 2012 |
| Experiments on Chinese speech recognition with tonal models and pitch estimation using the Mandarin speecon data. Y Sun, D Willett, R Brueckner, R Gruhn, D Bühler INTERSPEECH, 2006 | 16 | 2006 |
| Speech recognition T Herbig, M Raab, R Brueckner, R Gruhn US Patent 8,275,619, 2012 | 13 | 2012 |
| Method and apparatus for a robust feature extraction for speech recognition R Brückner, HG Hirsch, R Klisch, V Springer US Patent 6,678,657, 2004 | 11 | 2004 |
| Be at odds? deep and hierarchical neural networks for classification and regression of conflict in speech R Brueckner, B Schuller Conflict and Multimodal Communication: Social Research and Machine …, 2015 | 10 | 2015 |
| Spotting social signals in conversational speech over IP: A deep learning perspective R Brueckner, M Schmitt, M Pantic, B Schuller 18th Annual Conference of the International Speech Communication Association …, 2017 | 9 | 2017 |
| Audio-based detection of anxiety and depression via vocal biomarkers R Brueckner, N Kwon, V Subramanian, N Blaylock, H O’Connell Future of Information and Communication Conference, 124-141, 2024 | 3 | 2024 |
| Detecting Mild Cognitive Impairment using Vocal Biomarkers from Spontaneous Speech V Subramanian, N Kwon, R Brueckner, N Blaylock, H O’Connell Proc. SMM 2024, 1-5, 2024 | 2 | 2024 |
| Application of deep learning methods in computational paralinguistics RC Brückner Technische Universität München, 2020 | 2 | 2020 |
| Multilingual weighted codebooks R Brückner, M Raab, R Gruhn US Patent App. 12/416,768, 2009 | 2 | 2009 |
Björn SchullerProfessor, Technische Universität München (TUM) / Imperial College London & CSO, audEERINGVerified email at tum.de