| AVEC 2019 workshop and challenge: state-of-mind, detecting depression with AI, and cross-cultural affect recognition F Ringeval, B Schuller, M Valstar, N Cummins, R Cowie, L Tavabi, ... Proceedings of the 9th International on Audio/visual Emotion Challenge and …, 2019 | 364 | 2019 |
| 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, ... arXiv preprint arXiv:2005.00096, 2020 | 134 | 2020 |
| Audio self-supervised learning: A survey S Liu, A Mallol-Ragolta, E Parada-Cabaleiro, K Qian, X Jing, A Kathan, ... Patterns 3 (12), 2022 | 127 | 2022 |
| A review of automatic recognition technology for bird vocalizations in the deep learning era J Xie, Y Zhong, J Zhang, S Liu, C Ding, A Triantafyllopoulos Ecological Informatics 73, 101927, 2023 | 73 | 2023 |
| An overview of affective speech synthesis and conversion in the deep learning era A Triantafyllopoulos, BW Schuller, G İymen, M Sezgin, X He, Z Yang, ... Proceedings of the IEEE 111 (10), 1355-1381, 2023 | 66 | 2023 |
| A novel attention-based gated recurrent unit and its efficacy in speech emotion recognition ST Rajamani, KT Rajamani, A Mallol-Ragolta, S Liu, B Schuller ICASSP 2021-2021 IEEE international conference on acoustics, speech and …, 2021 | 52 | 2021 |
| Deep speaker conditioning for speech emotion recognition A Triantafyllopoulos, S Liu, BW Schuller 2021 IEEE international conference on multimedia and expo (ICME), 1-6, 2021 | 44 | 2021 |
| Adventitious respiratory classification using attentive residual neural networks Z Yang, S Liu, M Song, E Parada-Cabaleiro, BW Schuller | 39 | 2020 |
| Fitbeat: COVID-19 estimation based on wristband heart rate using a contrastive convolutional auto-encoder S Liu, J Han, EL Puyal, S Kontaxis, S Sun, P Locatelli, J Dineley, ... Pattern recognition 123, 108403, 2022 | 38 | 2022 |
| Computer audition for fighting the SARS-CoV-2 corona crisis—Introducing the multitask speech corpus for COVID-19 K Qian, M Schmitt, H Zheng, T Koike, J Han, J Liu, W Ji, J Duan, M Song, ... IEEE Internet of Things Journal 8 (21), 16035-16046, 2021 | 29 | 2021 |
| N-HANS: A neural network-based toolkit for in-the-wild audio enhancement S Liu, G Keren, E Parada-Cabaleiro, B Schuller Multimedia Tools and Applications, 1-25, 2021 | 26* | 2021 |
| Frustration recognition from speech during game interaction using wide residual networks M Song, A Mallol-Ragolta, E Parada-Cabaleiro, Z Yang, S Liu, Z Ren, ... Virtual Reality & Intelligent Hardware 3 (1), 76-86, 2021 | 24 | 2021 |
| Multistage linguistic conditioning of convolutional layers for speech emotion recognition A Triantafyllopoulos, U Reichel, S Liu, S Huber, F Eyben, BW Schuller Frontiers in Computer Science 5, 1072479, 2023 | 21 | 2023 |
| Evaluating the impact of voice activity detection on speech emotion recognition for autistic children M Milling, A Baird, KD Bartl-Pokorny, S Liu, AM Alcorn, J Shen, ... Frontiers in Computer Science 4, 837269, 2022 | 17 | 2022 |
| COVID-19 detection with a novel multi-type deep fusion method using breathing and coughing information S Liu, A Mallol-Ragolta, BW Schuller 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | 15 | 2021 |
| The utility of wearable devices in assessing ambulatory impairments of people with multiple sclerosis in free-living conditions S Sun, AA Folarin, Y Zhang, N Cummins, S Liu, C Stewart, Y Ranjan, ... Computer methods and programs in biomedicine 227, 107204, 2022 | 14 | 2022 |
| The filtering effect of face masks in their detection from speech A Mallol-Ragolta, S Liu, BW Schuller 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | 12 | 2021 |
| Convoluational transformer with adaptive position embedding for Covid-19 detection from cough sounds T Yan, H Meng, S Liu, E Parada-Cabaleiro, Z Ren, BW Schuller ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 11 | 2022 |
| A curriculum learning approach for pain intensity recognition from facial expressions A Mallol-Ragolta, S Liu, N Cummins, B Schuller 2020 15th IEEE international conference on automatic face and gesture …, 2020 | 10 | 2020 |
| Capturing time dynamics from speech using neural networks for surgical mask detection S Liu, A Mallol-Ragolta, T Yan, K Qian, E Parada-Cabaleiro, B Hu, ... IEEE Journal of Biomedical and Health Informatics 26 (8), 4291-4302, 2022 | 8 | 2022 |
Björn SchullerProfessor, Technische Universität München (TUM) / Imperial College London & CSO, audEERINGDirección de correo verificada de tum.de