| 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 | 327 | 2019 |
| Snore sound classification using image-based deep spectrum features S Amiriparian, M Gerczuk, S Ottl, N Cummins, M Freitag, S Pugachevskiy, ... | 319 | 2017 |
| AVEC 2018 workshop and challenge: Bipolar disorder and cross-cultural affect recognition F Ringeval, B Schuller, M Valstar, R Cowie, H Kaya, M Schmitt, ... Proceedings of the 2018 on audio/visual emotion challenge and workshop, 3-13, 2018 | 196 | 2018 |
| An image-based deep spectrum feature representation for the recognition of emotional speech N Cummins, S Amiriparian, G Hagerer, A Batliner, S Steidl, BW Schuller Proceedings of the 25th ACM international conference on Multimedia, 478-484, 2017 | 183 | 2017 |
| audeep: Unsupervised learning of representations from audio with deep recurrent neural networks M Freitag, S Amiriparian, S Pugachevskiy, N Cummins Journal of Machine Learning Research 18 (173), 1-5, 2018 | 181 | 2018 |
| The interspeech 2018 computational paralinguistics challenge: Atypical & self-assessed affect, crying & heart beats BW Schuller, S Steidl, A Batliner, PB Marschik, H Baumeister, F Dong, ... 19th Annual Conference of the International Speech Communication …, 2018 | 149 | 2018 |
| The interspeech 2020 computational paralinguistics challenge: Elderly emotion, breathing & masks BW Schuller, A Batliner, C Bergler, EM Messner, A Hamilton, ... | 148 | 2020 |
| 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 | 139 | 2021 |
| The interspeech 2019 computational paralinguistics challenge: Styrian dialects, continuous sleepiness, baby sounds & orca activity B Schuller, A Batliner, C Bergler, FB Pokorny, J Krajewski, M Cychosz, ... | 120 | 2019 |
| Sequence to sequence autoencoders for unsupervised representation learning from audio S Amiriparian, M Freitag, N Cummins, B Schuller DCASE, 17-21, 2017 | 116 | 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 14 (2), 1472-1487, 2021 | 70 | 2021 |
| MULTIMODAL BAG-OF-WORDS FOR CROSS DOMAINS SENTIMENT ANALYSIS N Cummins, S Amiriparian, S Ottl, M Gerczuk, M Schmitt, B Schuller 43rd IEEE Interna- tional Conference on Acoustics, Speech, and Signal …, 2018 | 58 | 2018 |
| The muse 2022 multimodal sentiment analysis challenge: humor, emotional reactions, and stress L Christ, S Amiriparian, A Baird, P Tzirakis, A Kathan, N Müller, L Stappen, ... Proceedings of the 3rd International on Multimodal Sentiment Analysis …, 2022 | 55 | 2022 |
| The voice of COVID-19: Acoustic correlates of infection in sustained vowels KD Bartl-Pokorny, FB Pokorny, A Batliner, S Amiriparian, A Semertzidou, ... The Journal of the Acoustical Society of America 149 (6), 4377-4383, 2021 | 51 | 2021 |
| Automatic classification of autistic child vocalisations: A novel database and results A Baird, S Amiriparian, N Cummins, AM Alcorn, A Batliner, ... | 49 | 2017 |
| 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 | 43 | 2017 |
| Deep unsupervised representation learning for abnormal heart sound classification S Amiriparian, M Schmitt, N Cummins, K Qian, F Dong, B Schuller 2018 40th Annual International Conference of the IEEE Engineering in …, 2018 | 42 | 2018 |
| Emotion recognition in the wild: Incorporating voice and lip activity in multimodal decision-level fusion F Ringeval, S Amiriparian, F Eyben, K Scherer, B Schuller Proceedings of the 16th international conference on multimodal interaction …, 2014 | 42 | 2014 |
| 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 | 40 | 2018 |
| 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 | 38 | 2022 |
Björn SchullerProfessor, Technische Universität München (TUM) / Imperial College London & CSO, audEERINGVerified email at tum.de
