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ORCIDBjörn W. Schuller
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- affiliation: Imperial College London, GLAM, UK
- affiliation: University of Augsburg, Department of Computer Science, Germany
- affiliation (former): University of Passau, Faculty of Computer Science and Mathematics, Germany
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2020 – today
- 2021
[j143]Jing Han
, Zixing Zhang, Maja Pantic, Björn W. Schuller:
Internet of emotional people: Towards continual affective computing cross cultures via audiovisual signals. Future Gener. Comput. Syst. 114: 294-306 (2021)- 2020
- [j142]Panpan Wu, Xuanchao Sun, Ziping Zhao, Haishuai Wang, Shirui Pan, Björn W. Schuller:
Classification of Lung Nodules Based on Deep Residual Networks and Migration Learning. Comput. Intell. Neurosci. 2020: 8975078:1-8975078:10 (2020) - [j141]Alice Baird, Björn W. Schuller:
Considerations for a More Ethical Approach to Data in AI: On Data Representation and Infrastructure. Frontiers Big Data 3: 25 (2020) - [j140]Kun Qian, Xiao Li, Haifeng Li, Shengchen Li, Wei Li, Zuoliang Ning, Shuai Yu, Limin Hou, Gang Tang, Jing Lu, Feng Li, Shufei Duan, Chengcheng Du, Yao Cheng, Yujun Wang, Lin Gan, Yoshiharu Yamamoto, Björn W. Schuller:
Computer Audition for Healthcare: Opportunities and Challenges. Frontiers Digit. Health 2: 5 (2020) - [j139]Emilia Parada-Cabaleiro, Anton Batliner, Alice Baird, Björn W. Schuller:
The perception of emotional cues by children in artificial background noise. Int. J. Speech Technol. 23(1): 169-182 (2020) - [j138]Vedhas Pandit, Maximilian Schmitt, Nicholas Cummins, Björn W. Schuller:
I see it in your eyes: Training the shallowest-possible CNN to recognise emotions and pain from muted web-assisted in-the-wild video-chats in real-time. Inf. Process. Manag. 57(6): 102347 (2020) - [j137]Ziping Zhao, Zhongtian Bao, Zixing Zhang, Jun Deng, Nicholas Cummins, Haishuai Wang, Jianhua Tao, Björn W. Schuller:
Automatic Assessment of Depression From Speech via a Hierarchical Attention Transfer Network and Attention Autoencoders. IEEE J. Sel. Top. Signal Process. 14(2): 423-434 (2020) - [j136]Gil Keren, Sivan Sabato, Björn W. Schuller:
Analysis of loss functions for fast single-class classification. Knowl. Inf. Syst. 62(1): 337-358 (2020) - [j135]Tobias Baur, Alexander Heimerl, Florian Lingenfelser, Johannes Wagner, Michel F. Valstar, Björn W. Schuller, Elisabeth André:
eXplainable Cooperative Machine Learning with NOVA. Künstliche Intell. 34(2): 143-164 (2020) - [j134]Emilia Parada-Cabaleiro, Giovanni Costantini, Anton Batliner, Maximilian Schmitt, Björn W. Schuller:
DEMoS: an Italian emotional speech corpus. Lang. Resour. Evaluation 54(2): 341-383 (2020) - [j133]Jun Deng, Björn W. Schuller, Florian Eyben, Dagmar Schuller, Zixing Zhang, Holly Francois, Eunmi Oh:
Exploiting time-frequency patterns with LSTM-RNNs for low-bitrate audio restoration. Neural Comput. Appl. 32(4): 1095-1107 (2020) - [j132]Shahin Amiriparian, Nicholas Cummins, Maurice Gerczuk, Sergey Pugachevskiy, Sandra Ottl, Björn W. Schuller:
"Are You Playing a Shooter Again?!" Deep Representation Learning for Audio-Based Video Game Genre Recognition. IEEE Trans. Games 12(2): 145-154 (2020) - [j131]Yue Zhang, Andrea Michi, Johannes Wagner, Elisabeth André, Björn W. Schuller, Felix Weninger:
A Generic Human-Machine Annotation Framework Based on Dynamic Cooperative Learning. IEEE Trans. Cybern. 50(3): 1230-1239 (2020) - [j130]Zixing Zhang, Dimitris N. Metaxas, Hung-yi Lee, Björn W. Schuller:
Guest Editorial Special Issue on Adversarial Learning in Computational Intelligence. IEEE Trans. Emerg. Top. Comput. Intell. 4(4): 414-416 (2020) - [j129]Zixing Zhang, Jing Han, Kun Qian, Christoph Janott, Yanan Guo, Björn W. Schuller:
Snore-GANs: Improving Automatic Snore Sound Classification With Synthesized Data. IEEE J. Biomed. Health Informatics 24(1): 300-310 (2020) - [j128]Fengquan Dong, Kun Qian, Zhao Ren, Alice Baird, Xinjian Li, Zhenyu Dai, Bo Dong, Florian Metze, Yoshiharu Yamamoto, Björn W. Schuller:
Machine Listening for Heart Status Monitoring: Introducing and Benchmarking HSS - The Heart Sounds Shenzhen Corpus. IEEE J. Biomed. Health Informatics 24(7): 2082-2092 (2020) - [c468]Tomoya Koike, Kun Qian, Qiuqiang Kong, Mark D. Plumbley, Björn W. Schuller, Yoshiharu Yamamoto:
Audio for Audio is Better? An Investigation on Transfer Learning Models for Heart Sound Classification. EMBC 2020: 74-77 - [c467]Alice Baird, Meishu Song, Björn W. Schuller:
Interaction with the Soundscape: Exploring Emotional Audio Generation for Improved Individual Wellbeing. HCI (37) 2020: 229-242 - [c466]Georgios Rizos, Alice Baird, Max Elliott, Björn W. Schuller:
Stargan for Emotional Speech Conversion: Validated by Data Augmentation of End-To-End Emotion Recognition. ICASSP 2020: 3502-3506 - [c465]Wenjing Han, Tao Jiang, Yan Li, Björn W. Schuller, Huabin Ruan:
Ordinal Learning for Emotion Recognition in Customer Service Calls. ICASSP 2020: 6494-6498 - [c464]Ziping Zhao, Zhongtian Bao, Zixing Zhang, Nicholas Cummins, Haishuai Wang, Björn W. Schuller:
Hierarchical Attention Transfer Networks for Depression Assessment from Speech. ICASSP 2020: 7159-7163 - [c463]Zhao Ren, Alice Baird, Jing Han, Zixing Zhang, Björn W. Schuller:
Generating and Protecting Against Adversarial Attacks for Deep Speech-Based Emotion Recognition Models. ICASSP 2020: 7184-7188 - [c462]Sandra Ottl, Shahin Amiriparian, Maurice Gerczuk, Vincent Karas, Björn W. Schuller:
Group-level Speech Emotion Recognition Utilising Deep Spectrum Features. ICMI 2020: 821-826 - [c461]Lukas Stappen, Georgios Rizos, Björn W. Schuller:
X-AWARE: ConteXt-AWARE Human-Environment Attention Fusion for Driver Gaze Prediction in the Wild. ICMI 2020: 858-867 - [c460]Shuo Liu, Jinlong Jiao, Ziping Zhao, Judith Dineley, Nicholas Cummins, Björn W. Schuller:
Hierarchical Component-attention Based Speaker Turn Embedding for Emotion Recognition. IJCNN 2020: 1-7 - [c459]M. Catarina Botelho, Lorenz Diener, Dennis Küster, Kevin Scheck, Shahin Amiriparian, Björn W. Schuller, Tanja Schultz, Alberto Abad, Isabel Trancoso:
Toward Silent Paralinguistics: Speech-to-EMG - Retrieving Articulatory Muscle Activity from Speech. INTERSPEECH 2020: 354-358 - [c458]Zhao Ren, Jing Han, Nicholas Cummins, Björn W. Schuller:
Enhancing Transferability of Black-Box Adversarial Attacks via Lifelong Learning for Speech Emotion Recognition Models. INTERSPEECH 2020: 496-500 - [c457]Adria Mallol-Ragolta, Nicholas Cummins, Björn W. Schuller:
An Investigation of Cross-Cultural Semi-Supervised Learning for Continuous Affect Recognition. INTERSPEECH 2020: 511-515 - [c456]Siddique Latif, Muhammad Asim, Rajib Rana, Sara Khalifa, Raja Jurdak, Björn W. Schuller:
Augmenting Generative Adversarial Networks for Speech Emotion Recognition. INTERSPEECH 2020: 521-525 - [c455]Panagiotis Tzirakis, Alexander Shiarella, Robert Ewers, Björn W. Schuller:
Computer Audition for Continuous Rainforest Occupancy Monitoring: The Case of Bornean Gibbons' Call Detection. INTERSPEECH 2020: 1211-1215 - [c454]Lukas Stappen, Georgios Rizos, Madina Hasan, Thomas Hain, Björn W. Schuller:
Uncertainty-Aware Machine Support for Paper Reviewing on the Interspeech 2019 Submission Corpus. INTERSPEECH 2020: 1808-1812 - [c453]Björn W. Schuller, Anton Batliner, Christian Bergler, Eva-Maria Messner, Antonia Hamilton, Shahin Amiriparian, Alice Baird, Georgios Rizos, Maximilian Schmitt, Lukas Stappen, Harald Baumeister, Alexis Deighton MacIntyre, Simone Hantke:
The INTERSPEECH 2020 Computational Paralinguistics Challenge: Elderly Emotion, Breathing & Masks. INTERSPEECH 2020: 2042-2046 - [c452]Tomoya Koike, Kun Qian, Björn W. Schuller, Yoshiharu Yamamoto:
Learning Higher Representations from Pre-Trained Deep Models with Data Augmentation for the COMPARE 2020 Challenge Mask Task. INTERSPEECH 2020: 2047-2051 - [c451]Alexis Deighton MacIntyre, Georgios Rizos, Anton Batliner, Alice Baird, Shahin Amiriparian, Antonia Hamilton, Björn W. Schuller:
Deep Attentive End-to-End Continuous Breath Sensing from Speech. INTERSPEECH 2020: 2082-2086 - [c450]Nicholas Cummins, Yilin Pan, Zhao Ren, Julian Fritsch, Venkata Srikanth Nallanthighal, Heidi Christensen, Daniel Blackburn, Björn W. Schuller, Mathew Magimai-Doss, Helmer Strik, Aki Härmä:
A Comparison of Acoustic and Linguistics Methodologies for Alzheimer's Dementia Recognition. INTERSPEECH 2020: 2182-2186 - [c449]Siddique Latif, Rajib Rana, Sara Khalifa, Raja Jurdak, Björn W. Schuller:
Deep Architecture Enhancing Robustness to Noise, Adversarial Attacks, and Cross-Corpus Setting for Speech Emotion Recognition. INTERSPEECH 2020: 2327-2331 - [c448]Zijiang Yang, Shuo Liu, Meishu Song, Emilia Parada-Cabaleiro, Björn W. Schuller:
Adventitious Respiratory Classification Using Attentive Residual Neural Networks. INTERSPEECH 2020: 2912-2916 - [c447]Shuo Liu, Andreas Triantafyllopoulos, Zhao Ren, Björn W. Schuller:
Towards Speech Robustness for Acoustic Scene Classification. INTERSPEECH 2020: 3087-3091 - [c446]Lorenz Diener, Shahin Amiriparian, Catarina Botelho, Kevin Scheck, Dennis Küster, Isabel Trancoso, Björn W. Schuller, Tanja Schultz:
Towards Silent Paralinguistics: Deriving Speaking Mode and Speaker ID from Electromyographic Signals. INTERSPEECH 2020: 3117-3121 - [c445]Merlin Albes, Zhao Ren, Björn W. Schuller, Nicholas Cummins:
Squeeze for Sneeze: Compact Neural Networks for Cold and Flu Recognition. INTERSPEECH 2020: 4546-4550 - [c444]Jing Han, Kun Qian, Meishu Song, Zijiang Yang, Zhao Ren, Shuo Liu, Juan Liu, Huaiyuan Zheng, Wei Ji, Tomoya Koike, Xiao Li, Zixing Zhang, Yoshiharu Yamamoto, Björn W. Schuller:
An Early Study on Intelligent Analysis of Speech Under COVID-19: Severity, Sleep Quality, Fatigue, and Anxiety. INTERSPEECH 2020: 4946-4950 - [c443]Alice Baird, Nicholas Cummins, Sebastian Schnieder, Jarek Krajewski, Björn W. Schuller:
An Evaluation of the Effect of Anxiety on Speech - Computational Prediction of Anxiety from Sustained Vowels. INTERSPEECH 2020: 4951-4955 - [c442]Ziping Zhao, Qifei Li, Nicholas Cummins, Bin Liu, Haishuai Wang, Jianhua Tao, Björn W. Schuller:
Hybrid Network Feature Extraction for Depression Assessment from Speech. INTERSPEECH 2020: 4956-4960 - [c441]Georgios Rizos, Björn W. Schuller:
Average Jane, Where Art Thou? - Recent Avenues in Efficient Machine Learning Under Subjectivity Uncertainty. IPMU (1) 2020: 42-55 - [c440]Shahin Amiriparian, Pawel Winokurow, Vincent Karas, Sandra Ottl, Maurice Gerczuk, Björn W. Schuller:
Unsupervised Representation Learning with Attention and Sequence to Sequence Autoencoders to Predict Sleepiness From Speech. MuSe @ ACM Multimedia 2020: 11-17 - [c439]Lukas Stappen, Alice Baird, Georgios Rizos, Panagiotis Tzirakis, Xinchen Du, Felix Hafner, Lea Schumann, Adria Mallol-Ragolta, Björn W. Schuller, Iulia Lefter, Erik Cambria, Ioannis Kompatsiaris:
MuSe 2020 Challenge and Workshop: Multimodal Sentiment Analysis, Emotion-target Engagement and Trustworthiness Detection in Real-life Media: Emotional Car Reviews in-the-wild. MuSe @ ACM Multimedia 2020: 35-44 - [c438]Lukas Stappen, Björn W. Schuller, Iulia Lefter, Erik Cambria, Ioannis Kompatsiaris:
Summary of MuSe 2020: Multimodal Sentiment Analysis, Emotion-target Engagement and Trustworthiness Detection in Real-life Media. ACM Multimedia 2020: 4769-4770 - [e16]Björn W. Schuller, Iulia Lefter, Erik Cambria, Ioannis Kompatsiaris, Lukas Stappen:
MuSe'20: Proceedings of the 1st International on Multimodal Sentiment Analysis in Real-life Media Challenge and Workshop, Seattle, WA, USA, October 16, 2020. ACM 2020, ISBN 978-1-4503-8157-4 [contents] - [i66]Siddique Latif, Rajib Rana, Sara Khalifa, Raja Jurdak, Junaid Qadir, Björn W. Schuller:
Deep Representation Learning in Speech Processing: Challenges, Recent Advances, and Future Trends. CoRR abs/2001.00378 (2020) - [i65]Decky Aspandi, Adria Mallol-Ragolta, Björn W. Schuller, Xavier Binefa:
Adversarial-based neural networks for affect estimations in the wild. CoRR abs/2002.00883 (2020) - [i64]Kazi Nazmul Haque, Rajib Rana, Björn W. Schuller:
Guided Generative Adversarial Neural Network for Representation Learning and High Fidelity Audio Generation using Fewer Labelled Audio Data. CoRR abs/2003.02836 (2020) - [i63]Björn W. Schuller, Dagmar M. Schuller, Kun Qian, Juan Liu, Huaiyuan Zheng, Xiao Li:
COVID-19 and Computer Audition: An Overview on What Speech & Sound Analysis Could Contribute in the SARS-CoV-2 Corona Crisis. CoRR abs/2003.11117 (2020) - [i62]Lukas Stappen, Fabian Brunn, Björn W. Schuller:
Cross-lingual Zero- and Few-shot Hate Speech Detection Utilising Frozen Transformer Language Models and AXEL. CoRR abs/2004.13850 (2020) - [i61]Lukas Stappen, Alice Baird, Georgios Rizos, Panagiotis Tzirakis, Xinchen Du, Felix Hafner, Lea Schumann, Adria Mallol-Ragolta, Björn W. Schuller, Iulia Lefter, Erik Cambria, Ioannis Kompatsiaris:
MuSe 2020 - The First International Multimodal Sentiment Analysis in Real-life Media Challenge and Workshop. CoRR abs/2004.14858 (2020) - [i60]Jing Han, Kun Qian, Meishu Song, Zijiang Yang, Zhao Ren, Shuo Liu, Juan Liu, Huaiyuan Zheng, Wei Ji, Tomoya Koike, Xiao Li, Zixing Zhang, Yoshiharu Yamamoto, Björn W. Schuller:
An Early Study on Intelligent Analysis of Speech under COVID-19: Severity, Sleep Quality, Fatigue, and Anxiety. CoRR abs/2005.00096 (2020) - [i59]Tomoya Koike, Kun Qian, Björn W. Schuller, Yoshiharu Yamamoto:
deepSELF: An Open Source Deep Self End-to-End Learning Framework. CoRR abs/2005.06993 (2020) - [i58]Mostafa M. Mohamed, Björn W. Schuller:
"I have vxxx bxx connexxxn!": Facing Packet Loss in Deep Speech Emotion Recognition. CoRR abs/2005.07757 (2020) - [i57]Mostafa M. Mohamed, Björn W. Schuller:
ConcealNet: An End-to-end Neural Network for Packet Loss Concealment in Deep Speech Emotion Recognition. CoRR abs/2005.07777 (2020) - [i56]Mostafa M. Mohamed, Mina A. Nessiem, Björn W. Schuller:
On Deep Speech Packet Loss Concealment: A Mini-Survey. CoRR abs/2005.07794 (2020) - [i55]Siddique Latif, Muhammad Asim, Rajib Rana, Sara Khalifa, Raja Jurdak, Björn W. Schuller:
Augmenting Generative Adversarial Networks for Speech Emotion Recognition. CoRR abs/2005.08447 (2020) - [i54]Siddique Latif, Rajib Rana, Sara Khalifa, Raja Jurdak, Björn W. Schuller:
Deep Architecture Enhancing Robustness to Noise, Adversarial Attacks, and Cross-corpus Setting for Speech Emotion Recognition. CoRR abs/2005.08453 (2020) - [i53]Gauri Deshpande, Björn W. Schuller:
An Overview on Audio, Signal, Speech, & Language Processing for COVID-19. CoRR abs/2005.08579 (2020) - [i52]Shahin Amiriparian, Pawel Winokurow, Vincent Karas, Sandra Ottl, Maurice Gerczuk, Björn W. Schuller:
A Novel Fusion of Attention and Sequence to Sequence Autoencoders to Predict Sleepiness From Speech. CoRR abs/2005.08722 (2020) - [i51]Thejan Rajapakshe, Siddique Latif, Rajib Rana, Sara Khalifa, Björn W. Schuller:
Deep Reinforcement Learning with Pre-training for Time-efficient Training of Automatic Speech Recognition. CoRR abs/2005.11172 (2020) - [i50]Kazi Nazmul Haque, Rajib Rana, Björn W. Schuller:
High-Fidelity Audio Generation and Representation Learning with Guided Adversarial Autoencoder. CoRR abs/2006.00877 (2020) - [i49]Lukas Stappen, Xinchen Du, Vincent Karas, Stefan Müller, Björn W. Schuller:
Go-CaRD - Generic, Optical Car Part Recognition and Detection: Collection, Insights, and Applications. CoRR abs/2006.08521 (2020) - [i48]Liang Zhang, Johann Li, Ping Li, Xiaoyuan Lu, Peiyi Shen, Guangming Zhu, Syed Afaq Ali Shah, Mohammed Bennamoun, Kun Qian, Björn W. Schuller:
MeDaS: An open-source platform as service to help break the walls between medicine and informatics. CoRR abs/2007.06013 (2020) - [i47]Zhengxin Joseph Ye, Björn W. Schuller:
Capturing dynamics of post-earnings-announcement drift using genetic algorithm-optimised supervised learning. CoRR abs/2009.03094 (2020) - [i46]Zhao Ren, Qiuqiang Kong, Jing Han, Mark D. Plumbley, Björn W. Schuller:
CAA-Net: Conditional Atrous CNNs with Attention for Explainable Device-robust Acoustic Scene Classification. CoRR abs/2011.09299 (2020)
2010 – 2019
- 2019
- [j127]Ziping Zhao, Zhongtian Bao, Yiqin Zhao, Zixing Zhang, Nicholas Cummins, Zhao Ren, Björn W. Schuller:
Exploring Deep Spectrum Representations via Attention-Based Recurrent and Convolutional Neural Networks for Speech Emotion Recognition. IEEE Access 7: 97515-97525 (2019) - [j126]Jing Han, Zixing Zhang, Björn W. Schuller:
Adversarial Training in Affective Computing and Sentiment Analysis: Recent Advances and Perspectives [Review Article]. IEEE Comput. Intell. Mag. 14(2): 68-81 (2019) - [j125]Björn W. Schuller:
Microexpressions: A Chance for Computers to Beat Humans at Detecting Hidden Emotions? Computer 52(2): 4-5 (2019) - [j124]Björn W. Schuller, Felix Weninger, Yue Zhang, Fabien Ringeval, Anton Batliner, Stefan Steidl, Florian Eyben, Erik Marchi, Alessandro Vinciarelli, Klaus R. Scherer, Mohamed Chetouani, Marcello Mortillaro:
Affective and behavioural computing: Lessons learnt from the First Computational Paralinguistics Challenge. Comput. Speech Lang. 53: 156-180 (2019) - [j123]Shahin Amiriparian, Jing Han, Maximilian Schmitt, Alice Baird, Adria Mallol-Ragolta, Manuel Milling, Maurice Gerczuk, Björn W. Schuller:
Synchronization in Interpersonal Speech. Frontiers Robotics AI 6: 116 (2019) - [j122]Simone Hantke, Tobias Olenyi, Christoph Hausner, Tobias Appel, Björn W. Schuller:
Large-scale Data Collection and Analysis via a Gamified Intelligent Crowdsourcing Platform. Int. J. Autom. Comput. 16(4): 427-436 (2019) - [j121]Dimitrios Kollias, Panagiotis Tzirakis, Mihalis A. Nicolaou, Athanasios Papaioannou, Guoying Zhao, Björn W. Schuller, Irene Kotsia, Stefanos Zafeiriou:
Deep Affect Prediction in-the-Wild: Aff-Wild Database and Challenge, Deep Architectures, and Beyond. Int. J. Comput. Vis. 127(6-7): 907-929 (2019) - [j120]Björn W. Schuller:
Responding to uncertainty in emotion recognition. J. Inf. Commun. Ethics Soc. 17(3): 299-303 (2019) - [j119]Björn W. Schuller:
IEEE Transactions on Affective Computing-On Novelty and Valence. IEEE Trans. Affect. Comput. 10(1): 1-2 (2019) - [j118]Yue Xie, Ruiyu Liang, Zhenlin Liang, Chengwei Huang, Cairong Zou, Björn W. Schuller:
Speech Emotion Classification Using Attention-Based LSTM. IEEE ACM Trans. Audio Speech Lang. Process. 27(11): 1675-1685 (2019) - [j117]Björn W. Schuller, Lucas Paletta, Peter Robinson, Nicolas Sabouret, Georgios N. Yannakakis:
Guest Editorial Intelligence in Serious Games. IEEE Trans. Games 11(4): 306-310 (2019) - [j116]Erik Marchi, Tadas Baltrusaitis, Andra Adams, Marwa Mahmoud, Ofer Golan, Shimrit Fridenson-Hayo, Shahar Tal, Shai Newman, Noga Meir-Goren, Antonio Camurri, Stefano Piana, Björn W. Schuller, Sven Bölte, T. Metin Sezgin, Nese Alyüz, Agnieszka Rynkiewicz, Aurelie Baranger, Alice Baird, Simon Baron-Cohen, Amandine Lassalle, Helen O'Reilly, Delia Pigat, Peter Robinson, Ian Davies:
The ASC-Inclusion Perceptual Serious Gaming Platform for Autistic Children. IEEE Trans. Games 11(4): 328-339 (2019) - [j115]Xinzhou Xu, Jun Deng, Eduardo Coutinho, Chen Wu, Li Zhao, Björn W. Schuller:
Connecting Subspace Learning and Extreme Learning Machine in Speech Emotion Recognition. IEEE Trans. Multim. 21(3): 795-808 (2019) - [j114]Zixing Zhang, Jing Han, Eduardo Coutinho, Björn W. Schuller:
Dynamic Difficulty Awareness Training for Continuous Emotion Prediction. IEEE Trans. Multim. 21(5): 1289-1301 (2019) - [c437]Meishu Song, Zijiang Yang, Alice Baird, Emilia Parada-Cabaleiro, Zixing Zhang, Ziping Zhao, Björn W. Schuller:
Audiovisual Analysis for Recognising Frustration during Game-Play: Introducing the Multimodal Game Frustration Database. ACII 2019: 517-523 - [c436]Vedhas Pandit, Maximilian Schmitt, Nicholas Cummins, Björn W. Schuller:
I Know How you Feel Now, and Here's why!: Demystifying Time-Continuous High Resolution Text-Based Affect Predictions in the Wild. CBMS 2019: 465-470 - [c435]Georgios Rizos, Konstantin Hemker, Björn W. Schuller:
Augment to Prevent: Short-Text Data Augmentation in Deep Learning for Hate-Speech Classification. CIKM 2019: 991-1000 - [c434]Ognjen (Oggi) Rudovic, Hae Won Park, John Busche, Björn W. Schuller, Cynthia Breazeal, Rosalind W. Picard:
Personalized Estimation of Engagement From Videos Using Active Learning With Deep Reinforcement Learning. CVPR Workshops 2019: 217-226 - [c433]Zhao Ren, Jing Han, Nicholas Cummins, Qiuqiang Kong, Mark D. Plumbley, Björn W. Schuller:
Multi-instance Learning for Bipolar Disorder Diagnosis using Weakly Labelled Speech Data. PDH 2019: 79-83 - [c432]Kun Qian, Hiroyuki Kuromiya, Zixing Zhang, Jinhyuk Kim, Toru Nakamura, Kazuhiro Yoshiuchi, Björn W. Schuller, Yoshiharu Yamamoto:
Teaching Machines to Know Your Depressive State: On Physical Activity in Health and Major Depressive Disorder. EMBC 2019: 3592-3595 - [c431]Christoph Janott, Christian Rohrmeier, Maximilian Schmitt, Werner Hemmert, Björn W. Schuller:
Snoring - An Acoustic Definition. EMBC 2019: 3653-3657 - [c430]Julian Schiele, Fabian Rabe, Maximilian Schmitt, Manuel Glaser, Franziska Häring, Jens O. Brunner, Bernhard Bauer, Björn W. Schuller, Claudia Traidl-Hoffmann, Athanasios Damialis:
Automated Classification of Airborne Pollen using Neural Networks. EMBC 2019: 4474-4478 - [c429]Maximilian Schmitt, Björn W. Schuller:
End-to-end Audio Classification with Small Datasets - Making It Work. EUSIPCO 2019: 1-5 - [c428]Adria Mallol-Ragolta, Maximilian Schmitt, Alice Baird, Nicholas Cummins, Björn W. Schuller:
Performance Analysis of Unimodal and Multimodal Models in Valence-Based Empathy Recognition. FG 2019: 1-5 - [c427]Panagiotis Tzirakis, Mihalis A. Nicolaou, Björn W. Schuller, Stefanos Zafeiriou:
Time-series Clustering with Jointly Learning Deep Representations, Clusters and Temporal Boundaries. FG 2019: 1-5 - [c426]Zhao Ren, Qiuqiang Kong, Jing Han, Mark D. Plumbley, Björn W. Schuller:
Attention-based Atrous Convolutional Neural Networks: Visualisation and Understanding Perspectives of Acoustic Scenes. ICASSP 2019: 56-60 - [c425]Georgios Rizos, Björn W. Schuller:
Modelling Sample Informativeness for Deep Affective Computing. ICASSP 2019: 3482-3486 - [c424]Jing Han, Zixing Zhang, Zhao Ren, Björn W. Schuller:
Implicit Fusion by Joint Audiovisual Training for Emotion Recognition in Mono Modality. ICASSP 2019: 5861-5865 - [c423]Lukas Stappen, Nicholas Cummins, Eva-Maria Meßner, Harald Baumeister, Judith Dineley, Björn W. Schuller:
Context Modelling Using Hierarchical Attention Networks for Sentiment and Self-assessed Emotion Detection in Spoken Narratives. ICASSP 2019: 6680-6684 - [c422]Zixing Zhang, Bingwen Wu, Björn W. Schuller:
Attention-augmented End-to-end Multi-task Learning for Emotion Prediction from Speech. ICASSP 2019: 6705-6709 - [c421]Josef Schmid, Mathias Schneider, Alfred Höß, Björn W. Schuller:
A Deep Learning Approach for Location Independent Throughput Prediction. ICCVE 2019: 1-5 - [c420]Ognjen Rudovic, Meiru Zhang, Björn W. Schuller, Rosalind W. Picard:
Multi-modal Active Learning From Human Data: A Deep Reinforcement Learning Approach. ICMI 2019: 6-15 - [c419]Najla Al Futaisi, Zixing Zhang, Alejandrina Cristià, Anne S. Warlaumont, Björn W. Schuller:
VCMNet: Weakly Supervised Learning for Automatic Infant Vocalisation Maturity Analysis. ICMI 2019: 205-209 - [c418]Gil Keren, Sivan Sabato, Björn W. Schuller:
A Walkthrough for the Principle of Logit Separation. IJCAI 2019: 6191-6195 - [c417]Shahin Amiriparian, Arsany Awad, Maurice Gerczuk, Lukas Stappen, Alice Baird, Sandra Ottl, Björn W. Schuller:
Audio-based Recognition of Bipolar Disorder Utilising Capsule Networks. IJCNN 2019: 1-7 - [c416]Chao Li, Qian Zhang, Ziping Zhao, Li Gu, Nicholas Cummins, Björn W. Schuller:
Analysing and Inferring of Intimacy Based on fNIRS Signals and Peripheral Physiological Signals. IJCNN 2019: 1-8 - [c415]Ziping Zhao, Zhongtian Bao, Zixing Zhang, Nicholas Cummins, Haishuai Wang, Björn W. Schuller:
Attention-Enhanced Connectionist Temporal Classification for Discrete Speech Emotion Recognition. INTERSPEECH 2019: 206-210 - [c414]Adria Mallol-Ragolta, Ziping Zhao, Lukas Stappen, Nicholas Cummins, Björn W. Schuller:
A Hierarchical Attention Network-Based Approach for Depression Detection from Transcribed Clinical Interviews. INTERSPEECH 2019: 221-225 - [c413]Alice Baird, Shahin Amiriparian, Nicholas Cummins, Sarah Sturmbauer, Johanna Janson, Eva-Maria Meßner, Harald Baumeister, Nicolas Rohleder, Björn W. Schuller:
Using Speech to Predict Sequentially Measured Cortisol Levels During a Trier Social Stress Test. INTERSPEECH 2019: 534-538 - [c412]Alice Baird, Eduardo Coutinho, Julia Hirschberg, Björn W. Schuller:
Sincerity in Acted Speech: Presenting the Sincere Apology Corpus and Results. INTERSPEECH 2019: 539-543 - [c411]Xinzhou Xu, Jun Deng, Nicholas Cummins, Zixing Zhang, Li Zhao, Björn W. Schuller:
Autonomous Emotion Learning in Speech: A View of Zero-Shot Speech Emotion Recognition. INTERSPEECH 2019: 949-953 - [c410]Andreas Triantafyllopoulos, Gil Keren, Johannes Wagner, Ingmar Steiner, Björn W. Schuller:
Towards Robust Speech Emotion Recognition Using Deep Residual Networks for Speech Enhancement. INTERSPEECH 2019: 1691-1695 - [c409]Yanan Guo, Ziping Zhao, Yide Ma, Björn W. Schuller:
Speech Augmentation via Speaker-Specific Noise in Unseen Environment. INTERSPEECH 2019: 1781-1785 - [c408]Björn W. Schuller, Anton Batliner, Christian Bergler, Florian B. Pokorny, Jarek Krajewski, Margaret Cychosz, Ralf Vollmann, Sonja-Dana Roelen, Sebastian Schnieder, Elika Bergelson, Alejandrina Cristià, Amanda Seidl