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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
[j174]Jing Han
, Zixing Zhang, Zhao Ren, Björn W. Schuller:
Exploring Perception Uncertainty for Emotion Recognition in Dyadic Conversation and Music Listening. Cogn. Comput. 13(2): 231-240 (2021)- [j173]Benjamin Sertolli, Zhao Ren, Björn W. Schuller, Nicholas Cummins:
Representation transfer learning from deep end-to-end speech recognition networks for the classification of health states from speech. Comput. Speech Lang. 68: 101204 (2021) - [j172]Zhengxin Joseph Ye, Björn W. Schuller:
Capturing dynamics of post-earnings-announcement drift using a genetic algorithm-optimized XGBoost. Expert Syst. Appl. 177: 114892 (2021) - [j171]Zixing Zhang, Ding Liu, Jing Han, Kun Qian, Björn W. Schuller:
Learning audio sequence representations for acoustic event classification. Expert Syst. Appl. 178: 115007 (2021) - [j170]Lukas Stappen, Alice Baird, Erik Cambria, Björn W. Schuller:
Sentiment Analysis and Topic Recognition in Video Transcriptions. IEEE Intell. Syst. 36(2): 88-95 (2021) - [j169]Sushovan Chanda, Kedar Fitwe, Gauri Deshpande, Björn W. Schuller, Sachin Patel:
A Deep Audiovisual Approach for Human Confidence Classification. Frontiers Comput. Sci. 3: 674533 (2021) - [j168]Novi Quadrianto, Björn W. Schuller, Finnian Rachel Lattimore:
Editorial: Ethical Machine Learning and Artificial Intelligence. Frontiers Big Data 4: 742589 (2021) - [j167]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. Frontiers Digit. Health 3: 564906 (2021) - [j166]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) - [j165]Sicheng Zhao, Min Xu, Qingming Huang, Björn W. Schuller:
Introduction to the Special Issue on MMAC: Multimodal Affective Computing of Large-Scale Multimedia Data. IEEE Multim. 28(2): 8-10 (2021) - [j164]Panagiotis Tzirakis, Jiaxin Chen, Stefanos Zafeiriou, Björn W. Schuller:
End-to-end multimodal affect recognition in real-world environments. Inf. Fusion 68: 46-53 (2021) - [j163]Kun Qian, Tomoya Koike, Kazuhiro Yoshiuchi, Björn W. Schuller, Yoshiharu Yamamoto:
Can Appliances Understand the Behavior of Elderly Via Machine Learning? A Feasibility Study. IEEE Internet Things J. 8(10): 8343-8355 (2021) - [j162]Kun Qian, Maximilian Schmitt, Huaiyuan Zheng, Tomoya Koike, Jing Han, Juan Liu, Wei Ji, Junjun Duan, Meishu Song, Zijiang Yang, Zhao Ren, Shuo Liu, Zixing Zhang, Yoshiharu Yamamoto, Björn W. Schuller:
Computer Audition for Fighting the SARS-CoV-2 Corona Crisis - Introducing the Multitask Speech Corpus for COVID-19. IEEE Internet Things J. 8(21): 16035-16046 (2021) - [j161]Shuo Liu, Gil Keren, Emilia Parada-Cabaleiro, Björn W. Schuller:
N-HANS: A neural network-based toolkit for in-the-wild audio enhancement. Multim. Tools Appl. 80(18): 28365-28389 (2021) - [j160]Ziping Zhao, Qifei Li, Zixing Zhang, Nicholas Cummins, Haishuai Wang, Jianhua Tao, Björn W. Schuller:
Combining a parallel 2D CNN with a self-attention Dilated Residual Network for CTC-based discrete speech emotion recognition. Neural Networks 141: 52-60 (2021) - [j159]Jean Kossaifi, Robert Walecki, Yannis Panagakis, Jie Shen, Maximilian Schmitt, Fabien Ringeval, Jing Han, Vedhas Pandit, Antoine Toisoul, Björn W. Schuller, Kam Star, Elnar Hajiyev, Maja Pantic:
SEWA DB: A Rich Database for Audio-Visual Emotion and Sentiment Research in the Wild. IEEE Trans. Pattern Anal. Mach. Intell. 43(3): 1022-1040 (2021) - [j158]Kun Qian, Zixing Zhang, Yoshiharu Yamamoto, Björn W. Schuller:
Artificial Intelligence Internet of Things for the Elderly: From Assisted Living to Health-Care Monitoring. IEEE Signal Process. Mag. 38(4): 78-88 (2021) - [j157]Björn W. Schuller, Rosalind W. Picard, Elisabeth André, Jonathan Gratch, Jianhua Tao:
Intelligent Signal Processing for Affective Computing [From the Guest Editors]. IEEE Signal Process. Mag. 38(6): 9-11 (2021) - [j156]Jing Han, Zixing Zhang, Cecilia Mascolo, Elisabeth André, Jianhua Tao, Ziping Zhao, Björn W. Schuller:
Deep Learning for Mobile Mental Health: Challenges and recent advances. IEEE Signal Process. Mag. 38(6): 96-105 (2021) - [j155]Jing Han, Zixing Zhang, Zhao Ren, Björn W. Schuller:
EmoBed: Strengthening Monomodal Emotion Recognition via Training with Crossmodal Emotion Embeddings. IEEE Trans. Affect. Comput. 12(3): 553-564 (2021) - [j154]Zengjie Zhang, Kun Qian, Björn W. Schuller, Dirk Wollherr:
An Online Robot Collision Detection and Identification Scheme by Supervised Learning and Bayesian Decision Theory. IEEE Trans Autom. Sci. Eng. 18(3): 1144-1156 (2021) - [j153]Jiaming Cheng, Ruiyu Liang, Zhenlin Liang, Li Zhao, Chengwei Huang, Björn W. Schuller:
A Deep Adaptation Network for Speech Enhancement: Combining a Relativistic Discriminator With Multi-Kernel Maximum Mean Discrepancy. IEEE ACM Trans. Audio Speech Lang. Process. 29: 41-53 (2021) - [j152]N. P. Narendra, Björn W. Schuller, Paavo Alku:
The Detection of Parkinson's Disease From Speech Using Voice Source Information. IEEE ACM Trans. Audio Speech Lang. Process. 29: 1925-1936 (2021) - [j151]Kazi Nazmul Haque, Rajib Rana, Jiajun Liu, John H. L. Hansen, Nicholas Cummins, Carlos Busso, Björn W. Schuller:
Guided Generative Adversarial Neural Network for Representation Learning and Audio Generation Using Fewer Labelled Audio Data. IEEE ACM Trans. Audio Speech Lang. Process. 29: 2575-2590 (2021) - [j150]Kun Qian, Christoph Janott, Maximilian Schmitt, Zixing Zhang, Clemens Heiser, Werner Hemmert, Yoshiharu Yamamoto, Björn W. Schuller:
Can Machine Learning Assist Locating the Excitation of Snore Sound? A Review. IEEE J. Biomed. Health Informatics 25(4): 1233-1246 (2021) - [j149]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. IEEE Trans. Multim. 23: 4131-4142 (2021) - [j148]Bob R. Schadenberg, Dennis Reidsma, Vanessa Evers, Daniel P. Davison, Jamy J. Li, Dirk K. J. Heylen, Carlos Neves, Paulo Alvito, Jie Shen, Maja Pantic, Björn W. Schuller, Nicholas Cummins, Vlad Olaru, Cristian Sminchisescu, Snezana Babovic Dimitrijevic, Suncica Petrovic, Aurelie Baranger, Alria Williams, Alyssa M. Alcorn, Elizabeth Pellicano:
Predictable Robots for Autistic Children - Variance in Robot Behaviour, Idiosyncrasies in Autistic Children's Characteristics, and Child-Robot Engagement. ACM Trans. Comput. Hum. Interact. 28(5): 36:1-36:42 (2021) - [j147]Ziping Zhao, Zhongtian Bao, Zixing Zhang, Nicholas Cummins, Shihuang Sun, Haishuai Wang, Jianhua Tao, Björn W. Schuller:
Self-attention transfer networks for speech emotion recognition. Virtual Real. Intell. Hardw. 3(1): 43-54 (2021) - [j146]Meishu Song, Adria Mallol-Ragolta, Emilia Parada-Cabaleiro, Zijiang Yang, Shuo Liu, Zhao Ren, Ziping Zhao, Björn W. Schuller:
Frustration recognition from speech during game interaction using wide residual networks. Virtual Real. Intell. Hardw. 3(1): 76-86 (2021) - [c499]Korbinian Friedl, Georgios Rizos, Lukas Stappen, Madina Hasan, Lucia Specia, Thomas Hain, Björn W. Schuller:
Uncertainty Aware Review Hallucination for Science Article Classification. ACL/IJCNLP (Findings) 2021: 5004-5009 - [c498]Mina A. Nessiem, Mostafa M. Mohamed, Harry Coppock, Alexander Gaskell, Björn W. Schuller:
Detecting COVID-19 from Breathing and Coughing Sounds using Deep Neural Networks. CBMS 2021: 183-188 - [c497]Ru Zhang, Yuanchun Shi, Björn W. Schuller, Elisabeth André, Sharon L. Oviatt, Aaron Quigley, Nicolai Marquardt, Ilhan Aslan, Ran Ju:
User Experience for Multi-Device Ecosystems: Challenges and Opportunities. CHI Extended Abstracts 2021: 111:1-111:5 - [c496]Meishu Song, Emilia Parada-Cabaleiro, Shuo Liu, Manuel Milling, Alice Baird, Zijiang Yang, Björn W. Schuller:
Supervised Contrastive Learning for Game-Play Frustration Detection from Speech. HCI (7) 2021: 617-629 - [c495]Chao Li, Boyang Chen, Ziping Zhao, Nicholas Cummins, Björn W. Schuller:
Hierarchical Attention-Based Temporal Convolutional Networks for Eeg-Based Emotion Recognition. ICASSP 2021: 1240-1244 - [c494]Panagiotis Tzirakis, Anh Nguyen, Stefanos Zafeiriou, Björn W. Schuller:
Speech Emotion Recognition Using Semantic Information. ICASSP 2021: 6279-6283 - [c493]Srividya Tirunellai Rajamani, Kumar T. Rajamani, Adria Mallol-Ragolta, Shuo Liu, Björn W. Schuller:
A Novel Attention-Based Gated Recurrent Unit and its Efficacy in Speech Emotion Recognition. ICASSP 2021: 6294-6298 - [c492]Andreas Triantafyllopoulos, Björn W. Schuller:
The Role of Task and Acoustic Similarity in Audio Transfer Learning: Insights from the Speech Emotion Recognition Case. ICASSP 2021: 7268-7272 - [c491]Meishu Song, Kun Qian, Bin Chen, Keiju Okabayashi, Emilia Parada-Cabaleiro, Zijiang Yang, Shuo Liu, Kazumasa Togami, Ichiro Hidaka, Yueheng Wang, Björn W. Schuller, Yoshiharu Yamamoto:
Predicting Group Work Performance from Physical Handwriting Features in a Smart English Classroom. ICDSP 2021: 140-145 - [c490]Björn W. Schuller, Tuomas Virtanen, Maria Riveiro, Georgios Rizos, Jing Han, Annamaria Mesaros, Konstantinos Drossos:
Towards Sonification in Multimodal and User-friendlyExplainable Artificial Intelligence. ICMI 2021: 788-792 - [c489]Dongyan Huang, Björn W. Schuller, Jianhua Tao, Lei Xie, Jie Yang:
ASMMC21: The 6th International Workshop on Affective Social Multimedia Computing. ICMI 2021: 864-867 - [c488]Zhengxin Joseph Ye, Björn W. Schuller:
Deep Learning Post-Earnings-Announcement Drift. IJCNN 2021: 1-7 - [c487]Kun Qian, Björn W. Schuller, Yoshiharu Yamamoto:
Recent Advances in Computer Audition for Diagnosing COVID-19: An Overview. LifeTech 2021: 181-182 - [c486]Lukas Stappen, Alice Baird, Lukas Christ, Lea Schumann, Benjamin Sertolli, Eva-Maria Meßner, Erik Cambria, Guoying Zhao, Björn W. Schuller:
The MuSe 2021 Multimodal Sentiment Analysis Challenge: Sentiment, Emotion, Physiological-Emotion, and Stress. MuSe @ ACM Multimedia 2021: 5-14 - [c485]Alice Baird, Lukas Stappen, Lukas Christ, Lea Schumann, Eva-Maria Messner, Björn W. Schuller:
A Physiologically-Adapted Gold Standard for Arousal during Stress. MuSe @ ACM Multimedia 2021: 69-73 - [c484]Lukas Stappen, Lea Schumann, Benjamin Sertolli, Alice Baird, Benjamin Weigel, Erik Cambria, Björn W. Schuller:
MuSe-Toolbox: The Multimodal Sentiment Analysis Continuous Annotation Fusion and Discrete Class Transformation Toolbox. MuSe @ ACM Multimedia 2021: 75-82 - [c483]Lukas Stappen, Eva-Maria Meßner, Erik Cambria, Guoying Zhao, Björn W. Schuller:
MuSe 2021 Challenge: Multimodal Emotion, Sentiment, Physiological-Emotion, and Stress Detection. ACM Multimedia 2021: 5706-5707 - [c482]Xinzhou Xu, Jun Deng, Zixing Zhang, Chen Wu, Björn W. Schuller:
Identifying surgical-mask speech using deep neural networks on low-level aggregation. SAC 2021: 580-585 - [c481]Alice Baird, Shahin Amiriparian, Manuel Milling, Björn W. Schuller:
Emotion Recognition in Public Speaking Scenarios Utilising An LSTM-RNN Approach with Attention. SLT 2021: 397-402 - [c480]Decky Aspandi, Federico Sukno, Björn W. Schuller, Xavier Binefa:
An Enhanced Adversarial Network with Combined Latent Features for Spatio-temporal Facial Affect Estimation in the Wild. VISIGRAPP (4: VISAPP) 2021: 172-181 - [e20]Björn W. Schuller, Lukas Stappen, Eva-Maria Meßner, Erik Cambria, Guoying Zhao:
MuSe '21: Proceedings of the 2nd on Multimodal Sentiment Analysis Challenge, Virtual Event, China, 24 October 2021. ACM 2021, ISBN 978-1-4503-8678-4 [contents] - [i101]Thejan Rajapakshe, Rajib Rana, Sara Khalifa, Björn W. Schuller, Jiajun Liu:
A novel policy for pre-trained Deep Reinforcement Learning for Speech Emotion Recognition. CoRR abs/2101.00738 (2021) - [i100]Ognjen Rudovic, Nicolas Tobis, Sebastian Kaltwang, Björn W. Schuller, Daniel Rueckert, Jeffrey F. Cohn, Rosalind W. Picard:
Personalized Federated Deep Learning for Pain Estimation From Face Images. CoRR abs/2101.04800 (2021) - [i99]Zhao Ren, Kun Qian, Fengquan Dong, Zhenyu Dai, Yoshiharu Yamamoto, Björn W. Schuller:
Deep Attention-based Representation Learning for Heart Sound Classification. CoRR abs/2101.04979 (2021) - [i98]Lukas Stappen, Alice Baird, Lea Schumann, Björn W. Schuller:
The Multimodal Sentiment Analysis in Car Reviews (MuSe-CaR) Dataset: Collection, Insights and Improvements. CoRR abs/2101.06053 (2021) - [i97]Harry Coppock, Alexander Gaskell, Panagiotis Tzirakis, Alice Baird, Lyn Jones, Björn W. Schuller:
End-2-End COVID-19 Detection from Breath & Cough Audio. CoRR abs/2102.08359 (2021) - [i96]Decky Aspandi, Federico Sukno, Björn W. Schuller, Xavier Binefa:
An Enhanced Adversarial Network with Combined Latent Features for Spatio-Temporal Facial Affect Estimation in the Wild. CoRR abs/2102.09150 (2021) - [i95]Björn W. Schuller, Anton Batliner, Christian Bergler, Cecilia Mascolo, Jing Han, Iulia Lefter, Heysem Kaya, Shahin Amiriparian, Alice Baird, Lukas Stappen, Sandra Ottl, Maurice Gerczuk, Panagiotis Tzirakis, Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Apinan Hasthanasombat, Dimitris Spathis, Tong Xia, Pietro Cicuta, Léon J. M. Rothkrantz, Joeri A. Zwerts, Jelle Treep, Casper S. Kaandorp:
The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 Cough, COVID-19 Speech, Escalation & Primates. CoRR abs/2102.13468 (2021) - [i94]Panagiotis Tzirakis, Anh Nguyen, Stefanos Zafeiriou, Björn W. Schuller:
Speech Emotion Recognition using Semantic Information. CoRR abs/2103.02993 (2021) - [i93]Maurice Gerczuk, Shahin Amiriparian, Sandra Ottl, Björn W. Schuller:
EmoNet: A Transfer Learning Framework for Multi-Corpus Speech Emotion Recognition. CoRR abs/2103.08310 (2021) - [i92]Sicheng Zhao, Quanwei Huang, Youbao Tang, Xingxu Yao, Jufeng Yang, Guiguang Ding, Björn W. Schuller:
Computational Emotion Analysis From Images: Recent Advances and Future Directions. CoRR abs/2103.10798 (2021) - [i91]Lukas Stappen, Alice Baird, Lukas Christ, Lea Schumann, Benjamin Sertolli, Eva-Maria Messner, Erik Cambria, Guoying Zhao, Björn W. Schuller:
The MuSe 2021 Multimodal Sentiment Analysis Challenge: Sentiment, Emotion, Physiological-Emotion, and Stress. CoRR abs/2104.07123 (2021) - [i90]Judith Dineley, Grace Lavelle, Daniel Leightley, Faith Matcham, Sara Siddi, Maria Teresa Peñarrubia-María, Katie M. White, Alina Ivan, Carolin Oetzmann, Sara Simblett, Erin Dawe-Lane, Stuart Bruce, Daniel Stahl, Josep Maria Haro, Til Wykes, Vaibhav A. Narayan, Matthew Hotopf, Björn W. Schuller, Nicholas Cummins:
Remote smartphone-based speech collection: acceptance and barriers in individuals with major depressive disorder. CoRR abs/2104.08600 (2021) - [i89]Shuo Liu, Jing Han, Estela Laporta Puyal, Spyridon Kontaxis, Shaoxiong Sun, Patrick Locatelli, Judith Dineley, Florian B. Pokorny, Gloria Dalla Costa, Letizia Leocani, Ana Isabel Guerrero, Carlos Nos, Ana Zabalza, Per Soelberg Sørensen, Mathias Buron, Melinda Magyari, Yatharth Ranjan, Zulqarnain Rashid, Pauline Conde, Callum L. Stewart, Amos A. Folarin, Richard J. B. Dobson, Raquel Bailón, Srinivasan Vairavan, Nicholas Cummins, Vaibhav A. Narayan, Matthew Hotopf, Giancarlo Comi, Björn W. Schuller:
Fitbeat: COVID-19 Estimation based on Wristband Heart Rate. CoRR abs/2104.09263 (2021) - [i88]Shahin Amiriparian, Artem Sokolov, Ilhan Aslan, Lukas Christ, Maurice Gerczuk, Tobias Hübner, Dmitry Lamanov, Manuel Milling, Sandra Ottl, Ilya Poduremennykh, Evgeniy Shuranov, Björn W. Schuller:
On the Impact of Word Error Rate on Acoustic-Linguistic Speech Emotion Recognition: An Update for the Deep Learning Era. CoRR abs/2104.10121 (2021) - [i87]Shahin Amiriparian, Tobias Hübner, Maurice Gerczuk, Sandra Ottl, Björn W. Schuller:
DeepSpectrumLite: A Power-Efficient Transfer Learning Framework for Embedded Speech and Audio Processing from Decentralised Data. CoRR abs/2104.11629 (2021) - [i86]Rodrigo Mira, Konstantinos Vougioukas, Pingchuan Ma, Stavros Petridis, Björn W. Schuller, Maja Pantic:
End-to-End Video-To-Speech Synthesis using Generative Adversarial Networks. CoRR abs/2104.13332 (2021) - [i85]Lukas Stappen, Gerhard Hagerer, Björn W. Schuller, Georg Groh:
Unsupervised Graph-based Topic Modeling from Video Transcriptions. CoRR abs/2105.01466 (2021) - [i84]Lukas Stappen, Alice Baird, Michelle Lienhart, Annalena Bätz, Björn W. Schuller:
An Estimation of Online Video User Engagement from Features of Continuous Emotions. CoRR abs/2105.01633 (2021) - [i83]Pingchuan Ma, Rodrigo Mira, Stavros Petridis, Björn W. Schuller, Maja Pantic:
LiRA: Learning Visual Speech Representations from Audio through Self-supervision. CoRR abs/2106.09171 (2021) - [i82]Sicheng Zhao, Xingxu Yao, Jufeng Yang, Guoli Jia, Guiguang Ding, Tat-Seng Chua, Björn W. Schuller, Kurt Keutzer:
Affective Image Content Analysis: Two Decades Review and New Perspectives. CoRR abs/2106.16125 (2021) - [i81]Xiangheng He, Junjie Chen, Georgios Rizos, Björn W. Schuller:
An Improved StarGAN for Emotional Voice Conversion: Enhancing Voice Quality and Data Augmentation. CoRR abs/2107.08361 (2021) - [i80]Lukas Stappen, Lea Schumann, Benjamin Sertolli, Alice Baird, Benjamin Weigel, Erik Cambria, Björn W. Schuller:
MuSe-Toolbox: The Multimodal Sentiment Analysis Continuous Annotation Fusion and Discrete Class Transformation Toolbox. CoRR abs/2107.11757 (2021) - [i79]Alice Baird, Lukas Stappen, Lukas Christ, Lea Schumann, Eva-Maria Meßner, Björn W. Schuller:
A Physiologically-Adapted Gold Standard for Arousal during Stress. CoRR abs/2107.12964 (2021) - [i78]Alican Akman, Harry Coppock, Alexander Gaskell, Panagiotis Tzirakis, Lyn Jones, Björn W. Schuller:
Evaluating the COVID-19 Identification ResNet (CIdeR) on the INTERSPEECH COVID-19 from Audio Challenges. CoRR abs/2107.14549 (2021) - [i77]Zhao Ren, Yi Chang, Björn W. Schuller:
The EIHW-GLAM Deep Attentive Multi-model Fusion System for Cough-based COVID-19 Recognition in the DiCOVA 2021 Challenge. CoRR abs/2108.03041 (2021) - [i76]Sandra Ottl, Shahin Amiriparian, Maurice Gerczuk, Björn W. Schuller:
A Machine Learning Framework for Automatic Prediction of Human Semen Motility. CoRR abs/2109.08049 (2021) - [i75]Andreas Triantafyllopoulos, Manuel Milling, Konstantinos Drossos, Björn W. Schuller:
Fairness and underspecification in acoustic scene classification: The case for disaggregated evaluations. CoRR abs/2110.01506 (2021) - [i74]Adria Mallol-Ragolta, Helena Cuesta, Emilia Gómez, Björn W. Schuller:
EIHW-MTG DiCOVA 2021 Challenge System Report. CoRR abs/2110.06543 (2021) - [i73]Andreas Triantafyllopoulos, Uwe Reichel, Shuo Liu, Stephan Huber, Florian Eyben, Björn W. Schuller:
Multistage linguistic conditioning of convolutional layers for speech emotion recognition. CoRR abs/2110.06650 (2021) - [i72]Adria Mallol-Ragolta, Helena Cuesta, Emilia Gómez, Björn W. Schuller:
EIHW-MTG: Second DiCOVA Challenge System Report. CoRR abs/2110.09239 (2021) - [i71]Panagiotis Tzirakis, Dénes Boros, Elnar Hajiyev, Björn W. Schuller:
Facial Emotion Recognition using Deep Residual Networks in Real-World Environments. CoRR abs/2111.02717 (2021) - 2020
- [j145]Kazi Nazmul Haque, Rajib Rana, Björn W. Schuller:
High-Fidelity Audio Generation and Representation Learning With Guided Adversarial Autoencoder. IEEE Access 8: 223509-223528 (2020) - [j144]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) - [j143]Shahin Amiriparian, Maurice Gerczuk, Sandra Ottl, Lukas Stappen, Alice Baird, Lukas Koebe, Björn W. Schuller:
Towards cross-modal pre-training and learning tempo-spatial characteristics for audio recognition with convolutional and recurrent neural networks. EURASIP J. Audio Speech Music. Process. 2020(1): 19 (2020) - [j142]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) - [j141]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) - [j140]Nicholas Cummins, Björn W. Schuller:
Five Crucial Challenges in Digital Health. Frontiers Digit. Health 2: 536203 (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) - [c479]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 - [c478]Panagiotis Tzirakis, Athanasios Papaioannou, Alexandros Lattas, Michail Tarasiou, Björn W. Schuller, Stefanos Zafeiriou:
Synthesising 3D Facial Motion from "In-the-Wild" Speech. FG 2020: 265-272 - [c477]Decky Aspandi, Adria Mallol-Ragolta, Björn W. Schuller, Xavier Binefa:
Latent-Based Adversarial Neural Networks for Facial Affect Estimations. FG 2020: 606-610 - [c476]Adria Mallol-Ragolta, Shuo Liu, Nicholas Cummins, Björn W. Schuller:
A Curriculum Learning Approach for Pain Intensity Recognition from Facial Expressions. FG 2020: 829-833 - [c475]Alice Baird, Meishu Song, Björn W. Schuller:
Interaction with the Soundscape: Exploring Emotional Audio Generation for Improved Individual Wellbeing. HCI (37) 2020: 229-242 - [c474]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 - [c473]Wenjing Han, Tao Jiang, Yan Li, Björn W. Schuller, Huabin Ruan:
Ordinal Learning for Emotion Recognition in Customer Service Calls. ICASSP 2020: 6494-6498 - [c472]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 - [c471]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 - [c470]Sandra Ottl, Shahin Amiriparian, Maurice Gerczuk, Vincent Karas, Björn W. Schuller:
Group-level Speech Emotion Recognition Utilising Deep Spectrum Features. ICMI 2020: 821-826 - [c469]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 - [c468]Chao Li, Qian Zhang, Ziping Zhao, Li Gu, Björn W. Schuller:
Exploring Spatial-Temporal Representations for fNIRS-based Intimacy Detection via an Attention-enhanced Cascade Convolutional Recurrent Neural Network. ICPR 2020: 8862-8869 - [c467]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 - [c466]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 - [c465]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 - [c464]Adria Mallol-Ragolta,