| Snore sound classification using image-based deep spectrum features S Amiriparian, M Gerczuk, S Ottl, N Cummins, M Freitag, S Pugachevskiy, ... | 271 | 2017 |
| 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, ... arXiv preprint arXiv:2102.13468, 2021 | 109 | 2021 |
| Multimodal bag-of-words for cross domains sentiment analysis N Cummins, S Amiriparian, S Ottl, M Gerczuk, M Schmitt, B Schuller 2018 IEEE international conference on acoustics, speech and signal …, 2018 | 49 | 2018 |
| Automatic classification of autistic child vocalisations: A novel database and results A Baird, S Amiriparian, N Cummins, AM Alcorn, A Batliner, ... | 42 | 2017 |
| Emonet: A transfer learning framework for multi-corpus speech emotion recognition M Gerczuk, S Amiriparian, S Ottl, BW Schuller IEEE Transactions on Affective Computing, 2021 | 41 | 2021 |
| Bag-of-deep-features: Noise-robust deep feature representations for audio analysis S Amiriparian, M Gerczuk, S Ottl, N Cummins, S Pugachevskiy, B Schuller 2018 International Joint Conference on Neural Networks (IJCNN), 1-7, 2018 | 38 | 2018 |
| Sentiment analysis using image-based deep spectrum features S Amiriparian, N Cummins, S Ottl, M Gerczuk, B Schuller 2017 Seventh International Conference on Affective Computing and Intelligent …, 2017 | 38 | 2017 |
| An'end-to-evolution'hybrid approach for snore sound classification M Freitag, S Amiriparian, N Cummins, M Gerczuk, B Schuller | 31 | 2017 |
| The ACM multimedia 2022 computational paralinguistics challenge: vocalisations, stuttering, activity, & mosquitoes B Schuller, A Batliner, S Amiriparian, C Bergler, M Gerczuk, N Holz, ... Proceedings of the 30th ACM International Conference on Multimedia, 7120-7124, 2022 | 30 | 2022 |
| Group-level speech emotion recognition utilising deep spectrum features S Ottl, S Amiriparian, M Gerczuk, V Karas, B Schuller Proceedings of the 2020 International Conference on Multimodal Interaction …, 2020 | 22 | 2020 |
| “are you playing a shooter again?!” deep representation learning for audio-based video game genre recognition S Amiriparian, N Cummins, M Gerczuk, S Pugachevskiy, S Ottl, B Schuller IEEE Transactions on Games 12 (2), 145-154, 2019 | 22 | 2019 |
| Deepspectrumlite: A power-efficient transfer learning framework for embedded speech and audio processing from decentralized data S Amiriparian, T Hübner, V Karas, M Gerczuk, S Ottl, BW Schuller Frontiers in Artificial Intelligence 5, 856232, 2022 | 19 | 2022 |
| Towards cross-modal pre-training and learning tempo-spatial characteristics for audio recognition with convolutional and recurrent neural networks S Amiriparian, M Gerczuk, S Ottl, L Stappen, A Baird, L Koebe, B Schuller EURASIP Journal on Audio, Speech, and Music Processing 2020, 1-11, 2020 | 19 | 2020 |
| Audio-based recognition of bipolar disorder utilising capsule networks S Amiriparian, A Awad, M Gerczuk, L Stappen, A Baird, S Ottl, B Schuller 2019 International Joint Conference on Neural Networks (IJCNN), 1-7, 2019 | 18 | 2019 |
| A fusion of deep convolutional generative adversarial networks and sequence to sequence autoencoders for acoustic scene classification S Arniriparian, M Freitag, N Cummins, M Gerczuk, S Pugachevskiy, ... 2018 26th European signal processing conference (EUSIPCO), 977-981, 2018 | 18 | 2018 |
| Emotion and themes recognition in music utilising convolutional and recurrent neural networks S Amiriparian, M Gerczuk, E Coutinho, A Baird, S Ottl, M Milling, ... CEUR Workshop Proceedings 2670, 2019 | 12 | 2019 |
| On the impact of word error rate on acoustic-linguistic speech emotion recognition: An update for the deep learning era S Amiriparian, A Sokolov, I Aslan, L Christ, M Gerczuk, T Hübner, ... arXiv preprint arXiv:2104.10121, 2021 | 11 | 2021 |
| Synchronization in interpersonal speech S Amiriparian, J Han, M Schmitt, A Baird, A Mallol-Ragolta, M Milling, ... Frontiers in Robotics and AI 6, 116, 2019 | 11 | 2019 |
| A summary of the ComParE COVID-19 challenges H Coppock, A Akman, C Bergler, M Gerczuk, C Brown, J Chauhan, ... Frontiers in Digital Health 5, 1058163, 2023 | 6 | 2023 |
| 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 |
