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检索条件"机构=Human Language Technology And Pattern Recognition Group"
397 条 记 录,以下是121-130 订阅
排序:
Exploring Kernel functions in the softmax layer for contextual word classification
arXiv
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arXiv 2019年
作者: Gao, Yingbo Herold, Christian Wang, Weiyue Ney, Hermann Human Language Technology and Pattern Recognition Group Computer Science Department RWTH Aachen University AachenD-52056 Germany
Prominently used in support vector machines and logistic regressions, kernel functions (kernels) can implicitly map data points into high dimensional spaces and make it easier to learn complex decision boundaries. In ... 详细信息
来源: 评论
An evolutionary lion optimization algorithm-based image compression technique for biomedical applications
An evolutionary lion optimization algorithm-based image comp...
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作者: Geetha, Karuppaiah Anitha, Veerasamy Elhoseny, Mohamed Kathiresan, Shankar Shamsolmoali, Pourya Selim, Mahmoud M. Department of Computer Science & Engineering MIET Engineering College Tamilnadu India Department of Computer Science and Engineering Imayam College of Engineering Anna University ChennaiTamilnadu India Faculty of Computers and Information Mansoura University Mansoura Egypt Scientific Group for Research and Technology Cairo Egypt Department of Computer Applications Alagappa University Karaikudi India Huawei Technologies Corporate Shanghai China. & Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai China Department of Mathematics Al-Aflaj College of Science and Human Studies Prince Sattam Bin Abdulaziz University Al-Kharj Saudi Arabia
Recently, medical image compression becomes essential to effectively handle large amounts of medical data for storage and communication purposes. Vector quantization (VQ) is a popular image compression technique, and ... 详细信息
来源: 评论
The Vicomtech-PRHLT Speech Transcription Systems for the IberSPEECH-RTVE 2018 Speech to Text Transcription Challenge  4
The Vicomtech-PRHLT Speech Transcription Systems for the Ibe...
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4th International Conference on Advances in Speech and language Technologies for Iberian languages, IberSPEECH 2018
作者: Arzelus, Haritz Álvarez, Aitor Bernath, Conrad García, Eneritz Granell, Emilio Martínez-Hinarejos, Carlos D. Vicomtech Human Speech and Language Technology Group Spain Pattern Recognition and Human Language Technologies Research Center Universitat Politècnica de València Spain
This paper describes our joint submission to the IberSPEECH-RTVE Speech to Text Transcription Challenge 2018, which calls for automatic speech transcription systems to be evaluated in realistic TV shows. With the aim ... 详细信息
来源: 评论
Exploring E2E speech recognition systems for new languages  4
Exploring E2E speech recognition systems for new languages
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4th International Conference on Advances in Speech and language Technologies for Iberian languages, IberSPEECH 2018
作者: Bernath, Conrad Álvarez, Aitor Arzelus, Haritz Martínez-Hinarejos, Carlos-D. Human Speech and Language Technology Group Vicomtech Spain Pattern Recognition and Human Language Technologies Research Center Universitat Politècnica de València Spain
Over the last few years, advances in both machine learning algorithms and computer hardware have led to significant improvements in speech recognition technology, mainly through the use of Deep Learning paradigms. As ... 详细信息
来源: 评论
The RWTH Aachen University English-German and German-English Unsupervised Neural Machine Translation Systems for WMT 2018  3
The RWTH Aachen University English-German and German-English...
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3rd Conference on Machine Translation, WMT 2018 at the Conference on Empirical Methods in Natural language Processing, EMNLP 2018
作者: Graça, Miguel Kim, Yunsu Schamper, Julian Geng, Jiahui Ney, Hermann Human Language Technology and Pattern Recognition Group Computer Science Department RWTH Aachen University AachenD-52056 Germany
This paper describes the unsupervised neural machine translation (NMT) systems of the RWTH Aachen University developed for the English ↔ German news translation task of the EMNLP 2018 Third Conference on Machine Trans... 详细信息
来源: 评论
Improving Neural language Models with Weight Norm Initialization and Regularization  3
Improving Neural Language Models with Weight Norm Initializa...
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3rd Conference on Machine Translation, WMT 2018 at the Conference on Empirical Methods in Natural language Processing, EMNLP 2018
作者: Herold, Christian Gao, Yingbo Ney, Hermann Human Language Technology and Pattern Recognition Group Computer Science Department RWTH Aachen University AachenD-52056 Germany
Embedding and projection matrices are commonly used in neural language models (NLM) as well as in other sequence processing networks that operate on large vocabularies. We examine such matrices in fine-tuned language ... 详细信息
来源: 评论
On the Alignment Problem in Multi-Head Attention-Based Neural Machine Translation  3
On the Alignment Problem in Multi-Head Attention-Based Neura...
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3rd Conference on Machine Translation, WMT 2018 at the Conference on Empirical Methods in Natural language Processing, EMNLP 2018
作者: Alkhouli, Tamer Bretschner, Gabriel Ney, Hermann Human Language Technology and Pattern Recognition Group Computer Science Department RWTH Aachen University AachenD-52056 Germany
This work investigates the alignment problem in state-of-the-art multi-head attention models based on the transformer architecture. We demonstrate that alignment extraction in transformer models can be improved by aug... 详细信息
来源: 评论
Comparison of lattice-free and lattice-based sequence discriminative training criteria for LVCSR
arXiv
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arXiv 2019年
作者: Michel, Wilfried Schlüter, Ralf Ney, Hermann Human Language Technology and Pattern Recognition Computer Science Department RWTH Aachen University Aachen52056 Germany
Sequence discriminative training criteria have long been a standard tool in automatic speech recognition for improving the performance of acoustic models over their maximum likelihood / cross entropy trained counterpa... 详细信息
来源: 评论
The RWTH Aachen University Filtering System for the WMT 2018 Parallel Corpus Filtering Task  3
The RWTH Aachen University Filtering System for the WMT 2018...
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3rd Conference on Machine Translation, WMT 2018 at the Conference on Empirical Methods in Natural language Processing, EMNLP 2018
作者: Rossenbach, Nick Rosendahl, Jan Kim, Yunsu Graça, Miguel Gokrani, Aman Ney, Hermann Human Language Technology and Pattern Recognition Group Computer Science Department RWTH Aachen University AachenD-52056 Germany
This paper describes the submission of RWTH Aachen University for the De→En parallel corpus filtering task of the EMNLP 2018 Third Conference on Machine Translation (WMT 2018). We use several rule-based, heuristic me... 详细信息
来源: 评论
A comparative study on end-to-end speech to text translation
arXiv
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arXiv 2019年
作者: Bahar, Parnia Bieschke, Tobias Ney, Hermann Human Language Technology and Pattern Recognition Group Computer Science Department Rwth Aachen University Aachen52074 Germany AppTek GmbH Aachen52062
Recent advances in deep learning show that end-to-end speech to text translation model is a promising approach to direct the speech translation field. In this work, we provide an overview of different end-to-end archi... 详细信息
来源: 评论