Florian Metze

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Alexander WaibelCarnegie Mellon, KIT, Karlsruhe Institute of Technology, University of KarlsruheDirección de correo verificada de cs.cmu.edu
Yajie MiaoCarnegie Mellon UniversityDirección de correo verificada de cs.cmu.edu
Billy li (Juncheng)Carnegie Mellon UniversityDirección de correo verificada de cs.cmu.edu
Tanja SchultzProfessor of Computer Science, University BremenDirección de correo verificada de uni-bremen.de
Alan W BlackProfessor, Language Technologies Institute, Carnegie Mellon UniversityDirección de correo verificada de cs.cmu.edu
Shruti PalaskarAppleDirección de correo verificada de apple.com
Ramon SanabriaThe University of EdinburghDirección de correo verificada de ed.ac.uk
Hagen SoltauGoogle DeepMindDirección de correo verificada de google.com
Siddharth DalmiaResearch Scientist, Google DeepMindDirección de correo verificada de google.com
Tim PolzehlGerman Research Center for Artificial IntelligenceDirección de correo verificada de dfki.de
Po-Yao (Bernie) HuangFAIR, MetaDirección de correo verificada de fb.com
Xinjian LiGoogle DeepMindDirección de correo verificada de google.com
Alex HauptmannCarnegie Mellon UniversityDirección de correo verificada de cs.cmu.edu
Yun Wang (Maigo)Research Scientist at FacebookDirección de correo verificada de fb.com
Shourabh RawatCarnegie Mellon University (CMU)Dirección de correo verificada de cs.cmu.edu
Shuhui QuStanford UniversityDirección de correo verificada de stanford.edu
Xavier AngueraELSA Corp.Dirección de correo verificada de elsanow.io
Sebastian StükerZoom Video Communications Inc.Dirección de correo verificada de kit.edu
Christoph FeichtenhoferMeta, FAIRDirección de correo verificada de fb.com
Shinji WatanabeCarnegie Mellon UniversityDirección de correo verificada de cmu.edu

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Florian Metze

Carnegie Mellon University; Meta AI

Dirección de correo verificada de andrew.cmu.edu - Página principal

speech recognition video understanding


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	977	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	540	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	386	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	310	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	299	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	289	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	277	2021
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
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	223	2022
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	213	2019
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	209	2021
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	199	2007
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	193	2017
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	180	2001
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	167	2005
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	148	2015
Effective dimensionality reduction for word embeddings V Raunak, V Gupta, F Metze Proceedings of the 4th Workshop on Representation Learning for NLP (RepL4NLP …, 2019	145	2019
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	141	2021
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	139	2020
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	131	2011

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