| EESEN: End-to-end speech recognition using deep RNN models and WFST-based decoding Y Miao, M Gowayyed, F Metze 2015 IEEE workshop on automatic speech recognition and understanding (ASRU …, 2015 | 987 | 2015 |
| Videoclip: Contrastive pre-training for zero-shot video-text understanding H Xu, G Ghosh, PY Huang, D Okhonko, A Aghajanyan, F Metze, ... arXiv preprint arXiv:2109.14084, 2021 | 587 | 2021 |
| Extracting deep bottleneck features using stacked auto-encoders J Gehring, Y Miao, F Metze, A Waibel 2013 IEEE international conference on acoustics, speech and signal …, 2013 | 392 | 2013 |
| How2: a large-scale dataset for multimodal language understanding R Sanabria, O Caglayan, S Palaskar, D Elliott, L Barrault, L Specia, ... arXiv preprint arXiv:1811.00347, 2018 | 324 | 2018 |
| Learning joint embedding with multimodal cues for cross-modal video-text retrieval NC Mithun, J Li, F Metze, AK Roy-Chowdhury Proceedings of the 2018 ACM on international conference on multimedia …, 2018 | 305 | 2018 |
| Support-set bottlenecks for video-text representation learning M Patrick, PY Huang, Y Asano, F Metze, A Hauptmann, J Henriques, ... arXiv preprint arXiv:2010.02824, 2020 | 297 | 2020 |
| Keeping your eye on the ball: Trajectory attention in video transformers M Patrick, D Campbell, Y Asano, I Misra, F Metze, C Feichtenhofer, ... Advances in neural information processing systems 34, 12493-12506, 2021 | 291 | 2021 |
| Masked autoencoders that listen PY Huang, H Xu, J Li, A Baevski, M Auli, W Galuba, F Metze, ... Advances in Neural Information Processing Systems 35, 28708-28720, 2022 | 262 | 2022 |
| A one-pass decoder based on polymorphic linguistic context assignment H Soltau, F Metze, C Fugen, A Waibel IEEE Workshop on Automatic Speech Recognition and Understanding, 2001. ASRU …, 2001 | 251 | 2001 |
| How2sign: a large-scale multimodal dataset for continuous american sign language A Duarte, S Palaskar, L Ventura, D Ghadiyaram, K DeHaan, F Metze, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 236 | 2021 |
| A comparison of five multiple instance learning pooling functions for sound event detection with weak labeling Y Wang, J Li, F Metze ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 217 | 2019 |
| Comparison of four approaches to age and gender recognition for telephone applications F Metze, J Ajmera, R Englert, U Bub, F Burkhardt, J Stegmann, C Muller, ... 2007 IEEE International Conference on Acoustics, Speech and Signal …, 2007 | 198 | 2007 |
| Advances in automatic meeting record creation and access A Waibel, M Bett, F Metze, K Ries, T Schaaf, T Schultz, H Soltau, H Yu, ... 2001 IEEE International Conference on Acoustics, Speech, and Signal …, 2001 | 181 | 2001 |
| A comparison of deep learning methods for environmental sound detection J Li, W Dai, F Metze, S Qu, S Das 2017 IEEE International conference on acoustics, speech and signal …, 2017 | 175 | 2017 |
| Session independent non-audible speech recognition using surface electromyography L Maier-Hein, F Metze, T Schultz, A Waibel IEEE Workshop on Automatic Speech Recognition and Understanding, 2005., 331-336, 2005 | 171 | 2005 |
| Effective dimensionality reduction for word embeddings V Raunak, V Gupta, F Metze Proceedings of the 4th Workshop on Representation Learning for NLP (RepL4NLP …, 2019 | 152 | 2019 |
| Speaker adaptive training of deep neural network acoustic models using i-vectors Y Miao, H Zhang, F Metze IEEE/ACM Transactions on Audio, Speech, and Language Processing 23 (11 …, 2015 | 147 | 2015 |
| Universal phone recognition with a multilingual allophone system X Li, S Dalmia, J Li, M Lee, P Littell, J Yao, A Anastasopoulos, ... ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 145 | 2020 |
| Vlm: Task-agnostic video-language model pre-training for video understanding H Xu, G Ghosh, PY Huang, P Arora, M Aminzadeh, C Feichtenhofer, ... arXiv preprint arXiv:2105.09996, 2021 | 143 | 2021 |
| Deep maxout networks for low-resource speech recognition Y Miao, F Metze, S Rawat 2013 IEEE Workshop on Automatic Speech Recognition and Understanding, 398-403, 2013 | 129 | 2013 |
Alexander WaibelCarnegie Mellon, KIT, Karlsruhe Institute of Technology, University of KarlsruheBestätigte E-Mail-Adresse bei cs.cmu.edu
