| Dawn of the transformer era in speech emotion recognition: closing the valence gap J Wagner, A Triantafyllopoulos, H Wierstorf, M Schmitt, F Burkhardt, ... IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 99 | 2023 |
| Towards robust speech emotion recognition using deep residual networks for speech enhancement A Triantafyllopoulos, G Keren, J Wagner, I Steiner, B Schuller | 49 | 2019 |
| 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 | 31 | 2021 |
| Probing speech emotion recognition transformers for linguistic knowledge A Triantafyllopoulos, J Wagner, H Wierstorf, M Schmitt, U Reichel, ... arXiv preprint arXiv:2204.00400, 2022 | 16 | 2022 |
| An evaluation of speech-based recognition of emotional and physiological markers of stress A Baird, A Triantafyllopoulos, S Zänkert, S Ottl, L Christ, L Stappen, ... Frontiers in Computer Science 3, 750284, 2021 | 16 | 2021 |
| Marvel: Multimodal extreme scale data analytics for smart cities environments D Bajovic, A Bakhtiarnia, G Bravos, A Brutti, F Burkhardt, D Cauchi, ... 2021 International Balkan Conference on Communications and Networking …, 2021 | 12 | 2021 |
| 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, 101927, 2022 | 11 | 2022 |
| The role of task and acoustic similarity in audio transfer learning: Insights from the speech emotion recognition case A Triantafyllopoulos, BW Schuller ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 11 | 2021 |
| 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, 2023 | 10 | 2023 |
| audEERING's approach to the one-minute-gradual emotion challenge A Triantafyllopoulos, H Sagha, F Eyben, B Schuller arXiv preprint arXiv:1805.01222, 2018 | 9 | 2018 |
| 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 | 7 | 2023 |
| Redundancy reduction twins network: A training framework for multi-output emotion regression X Jing, M Song, A Triantafyllopoulos, Z Yang, BW Schuller arXiv preprint arXiv:2206.09142, 2022 | 7 | 2022 |
| Personalised depression forecasting using mobile sensor data and ecological momentary assessment A Kathan, M Harrer, L Küster, A Triantafyllopoulos, X He, M Milling, ... Frontiers in Digital Health 4, 964582, 2022 | 6 | 2022 |
| A personalised approach to audiovisual humour recognition and its individual-level fairness A Kathan, S Amiriparian, L Christ, A Triantafyllopoulos, N Müller, A König, ... Proceedings of the 3rd International on Multimodal Sentiment Analysis …, 2022 | 6 | 2022 |
| Distinguishing between pre-and post-treatment in the speech of patients with chronic obstructive pulmonary disease A Triantafyllopoulos, M Fendler, A Batliner, M Gerczuk, S Amiriparian, ... arXiv preprint arXiv:2207.12784, 2022 | 6 | 2022 |
| Robust speech emotion recognition under different encoding conditions C Oates, A Triantafyllopoulos, I Steiner, B Schuller | 6 | 2019 |
| Fatigue prediction in outdoor running conditions using audio data A Triantafyllopoulos, S Ottl, A Gebhard, E Rituerto-González, M Jaumann, ... 2022 44th Annual International Conference of the IEEE Engineering in …, 2022 | 5 | 2022 |
| An overview & analysis of sequence-to-sequence emotional voice conversion Z Yang, X Jing, A Triantafyllopoulos, M Song, I Aslan, BW Schuller arXiv preprint arXiv:2203.15873, 2022 | 5 | 2022 |
| Personalised deep learning for monitoring depressed mood from speech M Gerczuk, A Triantafyllopoulos, S Amiriparian, A Kathan, J Bauer, ... 2022 E-Health and Bioengineering Conference (EHB), 1-5, 2022 | 4 | 2022 |
| Daily Mental Health Monitoring from Speech: A Real-World Japanese Dataset and Multitask Learning Analysis M Song, A Triantafyllopoulos, Z Yang, H Takeuchi, T Nakamura, A Kishi, ... ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 3 | 2023 |
