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Raymond Brueckner
Raymond Brueckner
Technical University Munich
Preverjeni e-poštni naslov na canaryspeech.com
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Leto
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
11402016
Speech-driven selection of an audio file
FS Gerl, D Willett, R Brueckner
US Patent 7,842,873, 2010
2552010
System and method enabling acoustic barge-in
J Junkawitsch, R Bruckner, K Reinhard, S Dobler
US Patent 7,392,188, 2008
1052008
Social signal classification using deep BLSTM recurrent neural networks
R Brueckner, B Schulter
2014 IEEE international conference on acoustics, speech and signal …, 2014
1012014
Earlier identification of children with autism spectrum disorder: An automatic vocalisation-based approach
FB Pokorny, B Schuller, PB Marschik, R Brueckner, P Nyström, ...
692017
Likability Classification--A not so Deep Neural Network Approach
R Brueckner, B Schuller
Proceedings INTERSPEECH 2012, 13th Annual Conference of the International …, 2012
412012
Language Identification in Vocal Music.
J Schwenninger, R Brueckner, D Willett, ME Hennecke
ISMIR, 377-379, 2006
272006
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
272005
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
232013
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
212016
Speech recognition based on a multilingual acoustic model
R Gruhn, M Raab, R Brueckner
US Patent 8,301,445, 2012
192012
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
162006
Speech recognition
T Herbig, M Raab, R Brueckner, R Gruhn
US Patent 8,275,619, 2012
132012
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
112004
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
102015
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
92017
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
32024
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
22024
Application of deep learning methods in computational paralinguistics
RC Brückner
Technische Universität München, 2020
22020
Multilingual weighted codebooks
R Brückner, M Raab, R Gruhn
US Patent App. 12/416,768, 2009
22009
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