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检索条件"机构=Human Language Technology and Pattern"
385 条 记 录,以下是261-270 订阅
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Morpheme-based feature-rich language models using Deep Neural Networks for LVCSR of Egyptian Arabic
Morpheme-based feature-rich language models using Deep Neura...
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2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013
作者: El-Desoky Mousa, Amr Kuo, Hong-Kwang Jeff Mangu, Lidia Soltau, Hagen Human Language Technology and Pattern Recognition Computer Science Department RWTH Aachen University 52056 Aachen Germany IBM T. J. Watson Research Center Yorktown Heights NY 10598 United States
Egyptian Arabic (EA) is a colloquial version of Arabic. It is a low-resource morphologically rich language that causes problems in Large Vocabulary Continuous Speech Recognition (LVCSR). Building LMs on morpheme level... 详细信息
来源: 评论
A CRITICAL EVALUATION OF STOCHASTIC ALGORITHMS FOR CONVEX OPTIMIZATION
A CRITICAL EVALUATION OF STOCHASTIC ALGORITHMS FOR CONVEX OP...
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IEEE International Conference on Acoustics, Speech, and Signal Processing
作者: Simon Wiesler Alexander Richard Ralf Schluter Hermann Ney Human Language Technology and Pattern Recognition Computer Science Department RWTH Aachen University Aachen Germany
Log-linear models find a wide range of applications in pattern recognition. The training of log-linear models is a convex optimization problem. In this work, we compare the performance of stochastic and batch optimiza... 详细信息
来源: 评论
DEEP HIERARCHICAL BOTTLENECK MRASTA FEATURES FOR LVCSR
DEEP HIERARCHICAL BOTTLENECK MRASTA FEATURES FOR LVCSR
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IEEE International Conference on Acoustics, Speech, and Signal Processing
作者: Zoltan Tuske Ralf Schluter Hermann Ney Human Language Technology and Pattern Recognition Computer Science Department RWTH Aachen University 52056 Aachen Germany
Hierarchical Multi Layer Perceptron (MLP) based long-term feature extraction is optimized for TANDEM connectionist large vocabulary continuous speech recognition (LVCSR) system within the QUAERO project. Training the ... 详细信息
来源: 评论
INVESTIGATION ON CROSS- AND MULTILINGUAL MLP FEATURES UNDER MATCHED AND MISMATCHED ACOUSTICAL CONDITIONS
INVESTIGATION ON CROSS- AND MULTILINGUAL MLP FEATURES UNDER ...
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IEEE International Conference on Acoustics, Speech, and Signal Processing
作者: Zoltan Tuske Joel Pinto Daniel Willett Ralf Schluter Human Language Technology and Pattern Recognition Computer Science Department RWTH Aachen University Nuance Communications Deutschland GmbH
In this paper, Multi Layer Perceptron (MLP) based multilingual bottleneck features are investigated for acoustic modeling in three languages -- German, French, and US English. We use a modified training algorithm to h... 详细信息
来源: 评论
Improvements in RWTH's System for Off-Line Handwriting Recognition
Improvements in RWTH's System for Off-Line Handwriting Recog...
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International Conference on Document Analysis and Recognition
作者: Michal Michał Kozielski Patrick Doetsch Hermann Ney Human Language Technology and Pattern Recognition Group RWTH Aachen University Aachen Germany Rheinisch-Westfalische Technische Hochschule Aachen Aachen Nordrhein-Westfalen DE Human Language Technol. & Pattern Recognition Group RWTH Aachen Univ. Aachen Germany
In this paper we describe a novel HMM-based system for off-line handwriting recognition. We adapt successful techniques from the domains of large vocabulary speech recognition and image object recognition: moment-base... 详细信息
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COMPARISON OF FEEDFORWARD AND RECURRENT NEURAL NETWORK language MODELS
COMPARISON OF FEEDFORWARD AND RECURRENT NEURAL NETWORK LANGU...
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IEEE International Conference on Acoustics, Speech, and Signal Processing
作者: M. Sundermeyer I. Oparin J.-L. Gauvain B. Freiberg R. Schluter H. Ney Human Language Technology and Pattern Recognition Computer Science Department RWTH Aachen University Aachen Germany Spoken Language Processing Group LIMSI CNRS Paris France
Research on language modeling for speech recognition has increasingly focused on the application of neural networks. Two competing concepts have been developed: On the one hand, feedforward neural networks representin... 详细信息
来源: 评论
MORPHEME-BASED FEATURE-RICH language MODELS USING DEEP NEURAL NETWORKS FOR LVCSR OF EGYPTIAN ARABIC
MORPHEME-BASED FEATURE-RICH LANGUAGE MODELS USING DEEP NEURA...
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IEEE International Conference on Acoustics, Speech, and Signal Processing
作者: Amr El-Desoky Mousa Hong-Kwang Jeff Kuo Lidia Mangu Hagen Soltau Human Language Technology and Pattern Recognition - Computer Science Department RWTH Aachen University IBM T. J. Watson Research Center
Egyptian Arabic (EA) is a colloquial version of Arabic. It is a low-resource morphologically rich language that causes problems in Large Vocabulary Continuous Speech Recognition (LVCSR). Building LMs on morpheme level... 详细信息
来源: 评论
Open Vocabulary Arabic Handwriting Recognition Using Morphological Decomposition
Open Vocabulary Arabic Handwriting Recognition Using Morphol...
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International Conference on Document Analysis and Recognition
作者: Mahdi Hamdani Amr El-Desoky Mousa Hermann Ney Human Language Technology and Pattern Recognition Group RWTH Aachen University Germany Rheinisch-Westfalische Technische Hochschule Aachen Aachen Nordrhein-Westfalen DE
The use of language Models (LMs) is a very important component in large and open vocabulary recognition systems. This paper presents an open-vocabulary approach for Arabic handwriting recognition. The proposed approac... 详细信息
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May the force be with you: Force-aligned signwriting for automatic subunit annotation of corpora
May the force be with you: Force-aligned signwriting for aut...
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International Conference on Automatic Face and Gesture Recognition
作者: Oscar Koller Hermann Ney Richard Bowden Centre for Vision Speech and Signal Processing University of Surrey Guildford UK Human Language Technology and Pattern Recognition Group RWTH Aachen University Germany
We propose a method to generate linguistically meaningful subunits in a fully automated fashion for sign language corpora. The ability to automate the process of subunit annotation has profound effects on the data ava... 详细信息
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Deciphering foreign language by combining language models and context vectors
Deciphering foreign language by combining language models an...
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50th Annual Meeting of the Association for Computational Linguistics, ACL 2012
作者: Nuhn, Malte Mauser, Arne Ney, Hermann Human Language Technology and Pattern Recognition Group RWTH Aachen University Germany
In this paper we show how to train statistical machine translation systems on reallife tasks using only non-parallel monolingual data from two languages. We present a modification of the method shown in (Ravi and Knig... 详细信息
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