متابعة
Florian Metze
Florian Metze
Carnegie Mellon University; Meta AI
بريد إلكتروني تم التحقق منه على andrew.cmu.edu - الصفحة الرئيسية
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
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
9892015
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
5872021
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
3932013
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
3242018
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
3052018
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
2972020
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
2932021
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
2652022
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
2512001
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
2392021
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
2182019
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
1982007
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
1812001
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
1752017
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
1712005
Effective dimensionality reduction for word embeddings‏
V Raunak, V Gupta, F Metze‏
Proceedings of the 4th Workshop on Representation Learning for NLP (RepL4NLP …, 2019‏
1522019
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
1472015
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
1462020
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
1452021
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
1292013
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مقالات 1–20