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Jing Han
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Exploring automatic diagnosis of COVID-19 from crowdsourced respiratory sound data
C Brown, J Chauhan, A Grammenos, J Han, A Hasthanasombat, ...
ACM SIGKDD International Conference on Knowledge Discovery & Data Mining …, 2020
2932020
Sewa db: A rich database for audio-visual emotion and sentiment research in the wild
J Kossaifi, R Walecki, Y Panagakis, J Shen, M Schmitt, F Ringeval, J Han, ...
IEEE transactions on pattern analysis and machine intelligence 43 (3), 1022-1040, 2019
1252019
An Early Study on Intelligent Analysis of Speech under COVID-19: Severity, Sleep Quality, Fatigue, and Anxiety
J Han, K Qian, M Song, Z Yang, Z Ren, S Liu, J Liu, H Zheng, W Ji, ...
Proc. INTERSPEECH, 4946-4950, 2020
882020
The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 cough, COVID-19 speech, escalation & primates
BW Schuller, A Batliner, C Bergler, C Mascolo, J Han, I Lefter, H Kaya, ...
INTERSPEECH, 2021
762021
From Hard to Soft: Towards more Human-like Emotion Recognition by Modelling the Perception Uncertainty
J Han, Z Zhang, M Schmitt, M Pantic, B Schuller
ACM Multimedia, 890-897, 2017
712017
Adversarial Training in Affective Computing and Sentiment Analysis: Recent Advances and Perspectives
J Han, Z Zhang, N Cummins, B Schuller
IEEE Computational Intelligence Magazine, 2019
642019
Exploring Automatic COVID-19 Diagnosis via voice and symptoms from Crowdsourced Data
J Han, C Brown, J Chauhan, A Grammenos, A Hasthanasombat, ...
Proc. ICASSP, 2021
542021
Facing realism in spontaneous emotion recognition from speech: Feature enhancement by autoencoder with LSTM neural networks
Z Zhang, F Ringeval, J Han, J Deng, E Marchi, B Schuller
Proceedings INTERSPEECH 2016, 17th Annual Conference of the International …, 2016
532016
Learning image-based representations for heart sound classification
Z Ren, N Cummins, V Pandit, J Han, K Qian, B Schuller
Proceedings of the 2018 international conference on digital health, 143-147, 2018
502018
Strength modelling for real-world automatic continuous affect recognition from audiovisual signals
J Han, Z Zhang, N Cummins, F Ringeval, B Schuller
Image and Vision Computing 65, 76-86, 2017
502017
Prediction-based learning for continuous emotion recognition in speech
J Han, Z Zhang, F Ringeval, B Schuller
2017 IEEE international conference on acoustics, speech and signal …, 2017
502017
Attention-based Atrous Convolutional Neural Networks: Visualisation AND Understanding Perspectives of Acoustic Scenes
Z Ren, Q Kong, J Han, M Plumbley, BW Schuller
ICASSP 2019- 2019 Proceedings IEEE International Conference on Acoustics …, 2019
462019
Cross lingual speech emotion recognition using canonical correlation analysis on principal component subspace
H Sagha, J Deng, M Gavryukova, J Han, B Schuller
2016 IEEE international conference on acoustics, speech and signal …, 2016
442016
Dynamic Difficulty Awareness Training for Continuous Emotion Prediction
Z Zhang, J Han, E Coutinho, B Schuller
IEEE Transactions on Multimedia 20, 2018
372018
Snore-GANs: Improving Automatic Snore Sound Classification with Synthesised Data
Z Zhang, J Han, K Qian, C Janott, Y Guo, B Schuller
IEEE Journal of Biomedical and Health Informatics, 11 pages, 2019
322019
Leveraging Unlabelled Data for Emotion Recognition with Enhanced Collaborative Semi-Supervised Learning
Z Zhang, J Han, J Deng, X Xu, F Ringeval, B Schuller
IEEE Access 6, 22196-22209, 2018
322018
Reconstruction-error-based learning for continuous emotion recognition in speech
J Han, Z Zhang, F Ringeval, B Schuller
2017 IEEE international conference on acoustics, speech and signal …, 2017
312017
The University of Passau open emotion recognition system for the multimodal emotion challenge
J Deng, N Cummins, J Han, X Xu, Z Ren, V Pandit, Z Zhang, B Schuller
Chinese Conference on Pattern Recognition, 652-666, 2016
302016
EmoBed: Strengthening monomodal emotion recognition via training with crossmodal emotion embeddings
J Han, Z Zhang, Z Ren, B Schuller
IEEE Transactions on Affective Computing 12 (3), 553-564, 2019
242019
Towards conditional adversarial training for predicting emotions from speech
J Han, Z Zhang, Z Ren, F Ringeval, B Schuller
Proc. IEEE International Conference on Acoustics, Speech and Signal …, 2018
222018
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