Raymond Brueckner

According to our database, Raymond Brueckner authored at least 15 papers between 2006 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Voice Technology to Identify Fatigue from Japanese Speech.

Raymond Brueckner, Misa Takegami, Namhee Kwon, Nate Blaylock, Vinod Subramanian, Eri Kiyoshige, Soshiro Ogata, Yuriko Nakaoku, Henry O'Connell, Kunihiro Nishimura

Proceedings of the 2023 Workshop on Speech, Music and Mind, 2023

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

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

2022

EMMI: Empathic Human-Machine Interaction for Establishing Trust in Automated Driving.

Tobias Oetermann, Pia S. C. Dautzenberg, Gudrun Mechthild Irmgard Voß, Christopher Brockmeier, Stefan Ladwig, Patrick Gebhard, Tanja Schneeberger, Markus Funk, Raymond Brueckner, Felix Schäfer, Norbert Helff, Andreas Gomer, Lutz Eckstein

CoRR, 2022

2020

Application of Deep Learning Methods in Computational Paralinguistics.

Raymond Brueckner

PhD thesis, 2020

2018

Asynchronous and Event-Based Fusion Systems for Affect Recognition on Naturalistic Data in Comparison to Conventional Approaches.

Florian Lingenfelser, Johannes Wagner, Jun Deng, Raymond Brueckner, Björn W. Schuller, Elisabeth André

IEEE Trans. Affect. Comput., 2018

2017

Earlier Identification of Children with Autism Spectrum Disorder: An Automatic Vocalisation-Based Approach.

Florian B. Pokorny, Björn W. Schuller, Peter B. Marschik, Raymond Brueckner, Pär Nyström, Nicholas Cummins, Sven Bölte, Christa Einspieler, Terje Falck-Ytter

Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

Spotting Social Signals in Conversational Speech over IP: A Deep Learning Perspective.

Raymond Brueckner, Maximilian Schmitt, Maja Pantic, Björn W. Schuller

Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

2016

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, Björn W. Schuller, Stefanos Zafeiriou

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2014

Social signal classification using deep blstm recurrent neural networks.

Raymond Brueckner, Björn W. Schuller

Proceedings of the IEEE International Conference on Acoustics, 2014

2013

Hierarchical neural networks and enhanced class posteriors for social signal classification.

Raymond Brueckner, Björn W. Schuller

Proceedings of the 2013 IEEE Workshop on Automatic Speech Recognition and Understanding, 2013

2012

Likability Classification - A Not so Deep Neural Network Approach.

Raymond Brueckner, Björn W. Schuller

Proceedings of the 13th Annual Conference of the International Speech Communication Association, 2012

2008

Comparing Linear Feature Space Transformations for Correlated Features.

Daniel Vásquez, Rainer Gruhn, Raymond Brueckner, Wolfgang Minker

Proceedings of the Perception in Multimodal Dialogue Systems, 2008

2006

Language Identification in Vocal Music.

Jochen Schwenninger, Raymond Brueckner, Daniel Willett, Marcus E. Hennecke

Proceedings of the ISMIR 2006, 2006

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 Bühler

Proceedings of the Ninth International Conference on Spoken Language Processing, 2006

Discriminatively Trained Context-Dependent Duration-Bigram Models for Korean Digit Recognition.

Daniel Willett, Franz Gerl, Raymond Brueckner

Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006