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检索条件"机构=Pattern Recognition and Human Language"
402 条 记 录,以下是111-120 订阅
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Improved strategies for a zero oov rate LVCSR system  40
Improved strategies for a zero oov rate LVCSR system
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40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015
作者: Shaik, M. Ali Basha Mousa, Amr El-Desoky Hahn, Stefan Schluter, Ralf Ney, Hermann Human Language Technology and Pattern Recognition - Computer Science Department RWTH Aachen University Aachen Germany Spoken Language Processing Group LIMSI CNRS Paris France
In this work, multiple hierarchical language modeling strategies for a zero OOV rate large vocabulary continuous speech recognition system are investigated. In our previously proposed hierarchical approach, a full-wor... 详细信息
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
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Investigations on sequence training of neural networks  40
Investigations on sequence training of neural networks
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40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015
作者: Wiesler, Simon Golik, Pavel Schluter, Ralf Ney, Hermann Human Language Technology and Pattern Recognition Computer Science Department RWTH Aachen University Aachen Germany LIMSI CNRS Spoken Language Processing Group Paris France
In this paper we present an investigation of sequence-discriminative training of deep neural networks for automatic speech recognition. We evaluate different sequence-discriminative training criteria (MMI and MPE) and... 详细信息
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Sequence-discriminative training of recurrent neural networks  40
Sequence-discriminative training of recurrent neural network...
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40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015
作者: Voigtlaender, Paul Doetsch, Patrick Wiesler, Simon Schluter, Ralf Ney, Hermann Human Language Technology and Pattern Recognition Computer Science Department RWTH Aachen University Aachen Germany LIMSI CNRS Spoken Language Processing Group Paris France
We investigate sequence-discriminative training of long shortterm memory recurrent neural networks using the maximum mutual information criterion. We show that although recurrent neural networks already make use of th... 详细信息
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Feature-rich sub-lexical language models using a maximum entropy approach for German LVCSR
Feature-rich sub-lexical language models using a maximum ent...
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14th Annual Conference of the International Speech Communication Association, INTERSPEECH 2013
作者: Shaik, M. Ali Basha El-Desoky Mousa, Amr Schlüter, Ralf Ney, Hermann Computer Science Department Human Language Technology and Pattern Recognition RWTH Aachen University Aachen Germany Spoken Language Processing Group LIMSI CNRS Paris France
German is a morphologically rich language having a high degree of word inflections, derivations and compounding. This leads to high out-of-vocabulary (OOV) rates and poor language model (LM) probabilities in the large... 详细信息
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Morpheme level hierarchical pitman-Yor class-based language models for LVCSR of morphologically rich languages
Morpheme level hierarchical pitman-Yor class-based language ...
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14th Annual Conference of the International Speech Communication Association, INTERSPEECH 2013
作者: El-Desoky Mousa, Amr Shaik, M. Ali Basha Schlüter, Ralf Ney, Hermann Computer Science Department Human Language Technology and Pattern Recognition RWTH Aachen University Aachen Germany Spoken Language Processing Group LIMSI CNRS Paris France
Performing large vocabulary continuous speech recognition (LVCSR) for morphologically rich languages is considered a challenging task. The morphological richness of such languages leads to high out-of-vocabulary (OOV)... 详细信息
来源: 评论
RWTHLM - The RWTH Aachen University neural network language modeling toolkit  15
RWTHLM - The RWTH Aachen University neural network language ...
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15th Annual Conference of the International Speech Communication Association: Celebrating the Diversity of Spoken languages, INTERSPEECH 2014
作者: Sundermeyer, Martin Schlüter, Ralf Ney, Hermann Human Language Technology and Pattern Recognition Computer Science Department RWTH Aachen University Aachen Germany Spoken Language Processing Group LIMSI CNRS Paris France
We present a novel toolkit that implements the long short-term memory (LSTM) neural network concept for language modeling. The main goal is to provide a software which is easy to use, and which allows fast training of... 详细信息
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Integrating Gaussian mixtures into deep neural networks: Softmax layer with hidden variables  40
Integrating Gaussian mixtures into deep neural networks: Sof...
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40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015
作者: Tuske, Zoltan Tahir, Muhammad Ali Schluter, Ralf Ney, Hermann Human Language Technology and Pattern Recognition Computer Science Department RWTH Aachen University Aachen Germany Spoken Language Processing Group LIMSI CNRS Paris France
In the hybrid approach, neural network output directly serves as hidden Markov model (HMM) state posterior probability estimates. In contrast to this, in the tandem approach neural network output is used as input feat... 详细信息
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Improved Chunk-level Reordering for Statistical Machine Translation  4
Improved Chunk-level Reordering for Statistical Machine Tran...
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4th International Workshop on Spoken language Translation, IWSLT 2007
作者: Zhang, Yuqi Zens, Richard Ney, Hermann Human Language Technology and Pattern Recognition Lehrstuhl für Informatik 6 Computer Science Department RWTH Aachen University Germany
Inspired by previous chunk-level reordering approaches to statistical machine translation, this paper presents two methods to improve the reordering at the chunk level. By introducing a new lattice weighting factor an... 详细信息
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The statistical approach to machine translation and a roadmap for speech translation  8
The statistical approach to machine translation and a roadma...
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8th European Conference on Speech Communication and Technology, EUROSPEECH 2003
作者: Ney, Hermann Lehrstuhl für Informatik VI Human Language Technology and Pattern Recognition RWTH Aachen - University of Technology AachenD-52056 Germany
During the last few years, the statistical approach has found widespread use in machine translation, in particular for spoken language. In many comparative evaluations of automatic speech translation, the statistical ... 详细信息
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