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检索条件"机构=Human Language Technology And Pattern Recognition Group"
397 条 记 录,以下是311-320 订阅
排序:
A convergence analysis of log-linear training and its application to speech recognition
A convergence analysis of log-linear training and its applic...
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2011 IEEE Workshop on Automatic Speech recognition and Understanding, ASRU 2011
作者: Wiesler, S. Schluter, R. Ney, H. Human Language Technology and Pattern Recognition RWTH Aachen University of Technology 52056 Aachen Germany
Log-linear models are a promising approach for speech recognition. Typically, log-linear models are trained according to a strictly convex criterion. Optimization algorithms are guaranteed to converge to the unique gl... 详细信息
来源: 评论
The RWTH 2010 Quaero ASR evaluation system for English, French, and German
The RWTH 2010 Quaero ASR evaluation system for English, Fren...
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36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011
作者: Sundermeyer, M. Nussbaum-Thom, M. Wiesler, S. Plahl, C. El-Desoky Mousa, A. Hahn, S. Nolden, D. Schlüter, R. Ney, H. Human Language Technology and Pattern Recognition Computer Science Department RWTH Aachen University Germany
Recognizing Broadcast Conversational (BC) speech data is a difficult task, which can be regarded as one of the major challenges beyond the recognition of Broadcast News (BN). © 2011 IEEE.
来源: 评论
Soft String-to-Dependency Hierarchical Machine Translation  8
Soft String-to-Dependency Hierarchical Machine Translation
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8th International Workshop on Spoken language Translation, IWSLT 2011
作者: Peter, Jan-Thorsten Huck, Matthias Ney, Hermann Stein, Daniel Human Language Technology and Pattern Recognition Group RWTH Aachen University Aachen Germany Fraunhofer IAIS St. Augustin Germany
In this paper, we dissect the influence of several target-side dependency-based extensions to hierarchical machine translation, including a dependency language model (LM). We pursue a non-restrictive approach that doe... 详细信息
来源: 评论
Modeling Punctuation Prediction as Machine Translation  8
Modeling Punctuation Prediction as Machine Translation
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8th International Workshop on Spoken language Translation, IWSLT 2011
作者: Peitz, Stephan Freitag, Markus Mauser, Arne Ney, Hermann Human Language Technology and Pattern Recognition Computer Science Department RWTH Aachen University Aachen Germany
Punctuation prediction is an important task in Spoken language Translation. The output of speech recognition systems does not typically contain punctuation marks. In this paper we analyze different methods for punctua... 详细信息
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Combining Translation and language Model Scoring for Domain-Specific Data Filtering  8
Combining Translation and Language Model Scoring for Domain-...
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8th International Workshop on Spoken language Translation, IWSLT 2011
作者: Mansour, Saab Wuebker, Joern Ney, Hermann Human Language Technology and Pattern Recognition Computer Science Department RWTH Aachen University Aachen Germany
The increasing popularity of statistical machine translation (SMT) systems is introducing new domains of translation that need to be tackled. As many resources are already available, domain adaptation methods can be a... 详细信息
来源: 评论
Using morpheme and syllable based sub-words for polish LVCSR
Using morpheme and syllable based sub-words for polish LVCSR
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36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011
作者: Shaik, M. Ali Basha El-Desoky Mousa, Amr Schlüter, Ralf Ney, Hermann Human Language Technology and Pattern Recognition - Computer Science Department RWTH Aachen University 52056 Aachen Germany
Polish is a synthetic language with a high morpheme-per-word ratio. It makes use of a high degree of inflection leading to high out-of-vocabulary (OOV) rates, and high language Model (LM) perplexities. This poses a ch... 详细信息
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Hybrid language models using mixed types of sub-lexical units for open vocabulary German LVCSR
Hybrid language models using mixed types of sub-lexical unit...
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12th Annual Conference of the International Speech Communication Association, INTERSPEECH 2011
作者: Ali Basha Shaik, M. El-Desoky Mousa, Amr Schlüter, Ralf Ney, Hermann Human Language Technology and Pattern Recognition Computer Science Department RWTH Aachen University 52056 Aachen Germany
German is a highly inflected language with a large number of words derived from the same root. It makes use of a high degree of word compounding leading to high Out-of-vocabulary (OOV) rates, and language Model (LM) p... 详细信息
来源: 评论
Morpheme based Factored language Models for German LVCSR
Morpheme based Factored Language Models for German LVCSR
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12th Annual Conference of the International Speech Communication Association, INTERSPEECH 2011
作者: El-Desoky Mousa, Amr Ali Basha Shaik, M. Schlüter, Ralf Ney, Hermann Human Language Technology and Pattern Recognition Computer Science Department RWTH Aachen University 52056 Aachen Germany
German is a highly inflectional language, where a large number of words can be generated from the same root. It makes a liberal use of compounding leading to high Out-of-vocabulary (OOV) rates, and poor language Model... 详细信息
来源: 评论
Warp that smile on your face: Optimal and smooth deformations for face recognition
Warp that smile on your face: Optimal and smooth deformation...
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作者: Gass, Tobias Pishchulin, Leonid Dreuw, Philippe Ney, Hermann Computer Vision Laboratory ETH Zurich Switzerland Computer Vision and Multimodal Computing MPI Informatics Saarbruecken Germany Human Language Technology and Pattern Recognition Group RWTH Aachen University Germany
In this work, we present novel warping algorithms for full 2D pixel-grid deformations for face recognition. Due to high variation in face appearance, face recognition is considered a very difficult task, especially if... 详细信息
来源: 评论
Using morpheme and syllable based sub-words for polish LVCSR
Using morpheme and syllable based sub-words for polish LVCSR
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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: M. Ali Basha Shaik Amr El-Desoky Mousa Ralf Schlüter Hermann Ney Human Language Technology and Pattern Recognition RWTH Aachen University Aachen Germany
Polish is a synthetic language with a high morpheme-per-word ratio. It makes use of a high degree of inflection leading to high out-of-vocabulary (OOV) rates, and high language Model (LM) perplexities. This poses a ch... 详细信息
来源: 评论