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检索条件"机构=Human Language Technology And Pattern Recognition Group"
397 条 记 录,以下是381-390 订阅
排序:
Incorporating On-demand Stereo for Real Time recognition
Incorporating On-demand Stereo for Real Time Recognition
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Conference on Computer Vision and pattern recognition (CVPR)
作者: T. Deselaers A. Criminisi J. Winn A. Agarwal Microsoft Research Limited Cambridge UK Human Language Technology and Pattern Recognition RWTH Aachen University of Technology Germany
A new method for localising and recognising hand poses and objects in real-time is presented. This problem is important in vision-driven applications where it is natural for a user to combine hand gestures and real ob... 详细信息
来源: 评论
The RWTH Arabic-to-English spoken language translation system
The RWTH Arabic-to-English spoken language translation syste...
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IEEE Workshop on Automatic Speech recognition and Understanding
作者: Oliver Bender Evgeny Matusov Stefan Hahn Sasa Hasan Shahram Khadivi Hermann Ney Human Language Technology and Pattern Recognition Lehrstuhl für Informatik 6-Computer Science Department RWTH Aachen University Aachen Germany
We present the RWTH phrase-based statistical machine translation system designed for the translation of Arabic speech into English text. This system was used in the Global Autonomous language Exploitation (GALE) Go/No... 详细信息
来源: 评论
Editorial: Knowledge engineering, semantics, and signal processing in audio - visual information retrieval
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IEEE Transactions on Circuits and Systems for Video technology 2007年 第3期17卷 257-258页
作者: Izquierdo, Ebroul Zhang, Jian Sikora, Thomas Huang, Thomas S. Department of Electrical Engineering Queen Mary University of London London El 4NS United Kingdom Sydney Australia School of Computer Science and Engineering University of New South Wales Australia Communication Systems Group Technical University Berlin Berlin Germany ITG University of Illinois at Urbana-Champaign United States Department of Electrical and Computer Engineering Coordinated Science Laboratory United States Image Formation and Processing Group Beckman Institute for Advanced Science and Technology United States Institute's Major Research Theme Human Computer Intelligent Interaction National Academy of Engineering Chinese Academies of Engineering and Sciences China International Association of Pattern Recognition Optical Society of American United States
No abstract available
来源: 评论
Patch-based object recognition using discriminatively trained Gaussian mixtures
Patch-based object recognition using discriminatively traine...
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2006 17th British Machine Vision Conference, BMVC 2006
作者: Hegerath, Andre Deselaers, Thomas Ney, Hermann Human Language Technology and Pattern Recognition Group RWTH Aachen University D-52056 Aachen Germany
We present an approach using Gaussian mixture models for part-based object recognition where spatial relationships of the parts are explicitly modeled and parameters of the generative model are tuned discriminatively.... 详细信息
来源: 评论
The RWTH Statistical Machine Translation System for the IWSLT 2006 Evaluation  3
The RWTH Statistical Machine Translation System for the IWSL...
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3rd International Workshop on Spoken language Translation, IWSLT 2006
作者: Mauser, Arne Zens, Richard Matusov, Evgeny Hasan, Saša Ney, Hermann Human Language Technology and Pattern Recognition Lehrstuhl für Informatik 6 Computer Science Department RWTH Aachen University AachenD-52056 Germany
We give an overview of the RWTH phrase-based statistical machine translation system that was used in the evaluation campaign of the International Workshop on Spoken language Translation (IWSLT) 2006. The system was ra... 详细信息
来源: 评论
N-Gram posterior probabilities for statistical machine translation
N-Gram posterior probabilities for statistical machine trans...
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2006 Workshop on Statistical Machine Translation, WMT 2006, collocated with the HLT-NAACL 2006
作者: Zens, Richard Ney, Hermann Human Language Technology and Pattern Recognition Lehrstuhl für Informatik 6 - Computer Science Department RWTH Aachen University AachenD-52056 Germany
Word posterior probabilities are a common approach for confidence estimation in automatic speech recognition and machine translation. We will generalize this idea and introduce n-gram posterior probabilities and show ... 详细信息
来源: 评论
Discriminative reordering models for statistical machine translation
Discriminative reordering models for statistical machine tra...
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2006 Workshop on Statistical Machine Translation, WMT 2006, collocated with the HLT-NAACL 2006
作者: Zens, Richard Ney, Hermann Human Language Technology and Pattern Recognition Lehrstuhl für Informatik 6 Computer Science Department RWTH Aachen University AachenD-52056 Germany
We present discriminative reordering models for phrase-based statistical machine translation. The models are trained using the maximum entropy principle. We use several types of features: based on words, based on word... 详细信息
来源: 评论
Acoustic feature combination for robust speech recognition
Acoustic feature combination for robust speech recognition
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2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05
作者: Zolnay, András Schlüter, Ralf Ney, Hermann Computer Science Department Human Language Technology and Pattern Recognition RWTH Aachen University 52056 Aachen Germany
In this paper, we consider the use of multiple acoustic features of the speech signal for robust speech recognition. We investigate the combination of various auditory based (Mel Frequency Cepstrum Coefficients, Perce... 详细信息
来源: 评论
The RWTH Phrase-based Statistical Machine Translation System  2
The RWTH Phrase-based Statistical Machine Translation System
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2nd International Workshop on Spoken language Translation, IWSLT 2005
作者: Zens, Richard Bender, Oliver Hasan, Saša Khadivi, Shahram Matusov, Evgeny Xu, Jia Zhang, Yuqi Ney, Hermann Human Language Technology and Pattern Recognition Lehrstuhl für Informatik VI Computer Science Department RWTH Aachen University AachenD-52056 Germany
We give an overview of the RWTH phrase-based statistical machine translation system that was used in the evaluation campaign of the International Workshop on Spoken language Translation 2005. We use a two pass approac... 详细信息
来源: 评论
Articulatory motivated acoustic features for speech recognition
Articulatory motivated acoustic features for speech recognit...
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9th European Conference on Speech Communication and technology
作者: Kocharov, Daniil Zolnay, András Schlüter, Ralf Ney, Hermann Department of Phonetics Faculty of Philology Saint-Petersburg State University 199034 Saint Petersburg Russia Human Language Technology and Pattern Recognition Lehrstuhl für Informatik VI Computer Science Department RWTH Aachen University 52056 Aachen Germany
In this paper, we consider the use of multiple acoustic features of the speech signal for continuous speech recognition. A novel articulatory motivated acoustic feature is introduced, namely the spectrum derivative fe... 详细信息
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