Björn W. Schuller

Research interests

Publications

• Dawn of the Transformer Era in Speech Emotion Recognition: Closing the Valence Gap

  IEEE Transactions on Pattern Analysis and Machine Intelligence · 2023 · 10.1109/tpami.2023.3263585

• The promise of digital healthcare technologies

  Frontiers in Public Health · 2023 · https://doi.org/10.3389/fpubh.2023.1196596

• AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition

  · 2019 · 10.1145/3347320.3357688

• Deep Affect Prediction in-the-Wild: Aff-Wild Database and Challenge, Deep Architectures, and Beyond

  International Journal of Computer Vision · 2019 · 10.1007/s11263-019-01158-4

• Speech emotion recognition

  Communications of the ACM · 2018 · 10.1145/3129340

• End-to-End Multimodal Emotion Recognition Using Deep Neural Networks

  IEEE Journal of Selected Topics in Signal Processing · 2017 · 10.1109/jstsp.2017.2764438

• A survey of multimodal sentiment analysis

  Image and Vision Computing · 2017 · 10.1016/j.imavis.2017.08.003

• AVEC 2016

  · 2016 · 10.1145/2988257.2988258

• An investigation of the ‘female camouflage effect’ in autism using a computerized ADOS-2 and a test of sex/gender differences

  Molecular Autism · 2016 · 10.1186/s13229-016-0073-0

• Adieu features? End-to-end speech emotion recognition using a deep convolutional recurrent network

  · 2016 · 10.1109/icassp.2016.7472669

• Speech Enhancement with LSTM Recurrent Neural Networks and its Application to Noise-Robust ASR

  Lecture notes in computer science · 2015 · 10.1007/978-3-319-22482-4_11

• The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing

  IEEE Transactions on Affective Computing · 2015 · https://doi.org/10.1109/taffc.2015.2457417

• Prediction of asynchronous dimensional emotion ratings from audiovisual and physiological data

  Pattern Recognition Letters · 2014 · https://doi.org/10.1016/j.patrec.2014.11.007

• AVEC 2014

  · 2014 · 10.1145/2661806.2661807

• New Avenues in Opinion Mining and Sentiment Analysis

  IEEE Intelligent Systems · 2013 · https://doi.org/10.1109/mis.2013.30

• Recent developments in openSMILE, the munich open-source multimedia feature extractor

  Journal · 2013 · https://doi.org/10.1145/2502081.2502224

• YouTube Movie Reviews: Sentiment Analysis in an Audio-Visual Context

  IEEE Intelligent Systems · 2013 · 10.1109/mis.2013.34

• The INTERSPEECH 2013 computational paralinguistics challenge: social signals, conflict, emotion, autism

  · 2013 · 10.21437/interspeech.2013-56

• AVEC 2013

  · 2013 · 10.1145/2512530.2512533

• Paralinguistics in speech and language—State-of-the-art and the challenge

  Computer Speech & Language · 2012 · https://doi.org/10.1016/j.csl.2012.02.005

• Recognising realistic emotions and affect in speech: State of the art and lessons learnt from the first challenge

  Speech Communication · 2011 · 10.1016/j.specom.2011.01.011

• Opensmile

  Journal · 2010 · https://doi.org/10.1145/1873951.1874246

• The INTERSPEECH 2010 paralinguistic challenge

  Journal · 2010 · https://doi.org/10.21437/interspeech.2010-739

• Context-sensitive multimodal emotion recognition from speech and facial expression using bidirectional LSTM modeling

  Journal · 2010 · https://doi.org/10.21437/interspeech.2010-646

• Cross-Corpus Acoustic Emotion Recognition: Variances and Strategies

  IEEE Transactions on Affective Computing · 2010 · 10.1109/t-affc.2010.8

• The INTERSPEECH 2009 emotion challenge

  Journal · 2009 · https://doi.org/10.21437/interspeech.2009-103

• OpenEAR — Introducing the munich open-source emotion and affect recognition toolkit

  · 2009 · 10.1109/acii.2009.5349350

• Speech emotion recognition combining acoustic features and linguistic information in a hybrid support vector machine-belief network architecture

  · 2004 · 10.1109/icassp.2004.1326051

• Hidden Markov model-based speech emotion recognition

  · 2003 · 10.1109/icme.2003.1220939

Current projects

No projects listed.