| Snore sound classification using image-based deep spectrum features S Amiriparian, M Gerczuk, S Ottl, N Cummins, M Freitag, S Pugachevskiy, ... | 297 | 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 | 125 | 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 | 56 | 2018 |
| 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 | 51 | 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 | 42 | 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 | 41 | 2017 |
| 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 | 27 | 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 | 24 | 2019 |
| 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 | 23 | 2021 |
| Recognition of echolalic autistic child vocalisations utilising convolutional recurrent neural networks S Amiriparian, A Baird, S Julka, A Alcorn, S Ottl, S Petrović, E Ainger, ... | 23 | 2018 |
| 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 | 22 | 2022 |
| 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 | 21 | 2019 |
| 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 | 20 | 2020 |
| 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 | 14 | 2021 |
| 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 | 13 | 2019 |
| motilitAI: A machine learning framework for automatic prediction of human sperm motility S Ottl, S Amiriparian, M Gerczuk, BW Schuller iscience 25 (8), 2022 | 11 | 2022 |
| The INTERSPEECH 2021 computational paralinguistics challenge: COVID-19 cough B Schuller, A Batliner, C Bergler, C Mascolo, J Han, I Lefter, H Kaya, ... COVID-19 Speech, Escalation & Primates, 2021 | 10 | 2021 |
| 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 | 7 | 2023 |
| Unsupervised representation learning with attention and sequence to sequence autoencoders to predict sleepiness from speech S Amiriparian, P Winokurow, V Karas, S Ottl, M Gerczuk, B Schuller Proceedings of the 1st International on Multimodal Sentiment Analysis in …, 2020 | 7 | 2020 |
| Snore sound classification using image-based deep spectrum features.(2017) S Amiriparian, M Gerczuk, S Ottl, N Cummins, M Freitag, S Pugachevskiy, ... | 7 | 2017 |
