Snore sound classification using image-based deep spectrum features S Amiriparian, M Gerczuk, S Ottl, N Cummins, M Freitag, S Pugachevskiy, ... | 316 | 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 | 137 | 2021 |
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 2018 IEEE international conference on acoustics, speech and signal …, 2018 | 58 | 2018 |
Automatic classification of autistic child vocalisations: A novel database and results A Baird, S Amiriparian, N Cummins, AM Alcorn, A Batliner, ... | 46 | 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 | 42 | 2017 |
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 |
An'end-to-evolution'hybrid approach for snore sound classification M Freitag, S Amiriparian, N Cummins, M Gerczuk, B Schuller | 33 | 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 |
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 | 26 | 2022 |
“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 | 26 | 2019 |
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 | 23 | 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 | 22 | 2018 |
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 | 21 | 2020 |
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 | 15 | 2022 |
motilitAI: A machine learning framework for automatic prediction of human sperm motility S Ottl, S Amiriparian, M Gerczuk, BW Schuller iscience 25 (8), 2022 | 15 | 2022 |
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 | 15 | 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 | 15 | 2019 |
Emotion and themes recognition in music utilising convolutional and recurrent neural networks S Amiriparian, M Gerczuk, E Coutinho, A Baird, S Ottl, M Milling, ... | 14 | 2019 |