| 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 | 825 | 2015 |
| 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 | 343 | 2013 |
| 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 | 249 | 2001 |
| 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 | 240 | 2018 |
| 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 | 191 | 2018 |
| 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 | 190 | 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 |
| 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 | 167 | 2020 |
| 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 | 158 | 2005 |
| 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 | 157 | 2019 |
| 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 | 148 | 2021 |
| 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 | 133 | 2015 |
| 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 | 130 | 2017 |
| 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 | 114 | 2013 |
| A flexible stream architecture for ASR using articulatory features F Metze, A Waibel Seventh International Conference on Spoken Language Processing, 2002 | 111 | 2002 |
| A summary of the 2012 JHU CLSP workshop on zero resource speech technologies and models of early language acquisition A Jansen, E Dupoux, S Goldwater, M Johnson, S Khudanpur, K Church, ... 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013 | 108 | 2013 |
| Anger recognition in speech using acoustic and linguistic cues T Polzehl, A Schmitt, F Metze, M Wagner Speech Communication 53 (9-10), 1198-1209, 2011 | 108 | 2011 |
| Towards speaker adaptive training of deep neural network acoustic models Y Miao, H Zhang, F Metze Fifteenth annual conference of the international speech communication …, 2014 | 105 | 2014 |
| Automatically assessing personality from speech T Polzehl, S Möller, F Metze 2010 IEEE Fourth International Conference on Semantic Computing, 134-140, 2010 | 105 | 2010 |
| 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 | 99 | 2021 |
Alexander WaibelCarnegie Mellon, KIT, Karlsruhe Institute of Technology, University of KarlsruheVerified email at cs.cmu.edu
