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检索条件"机构=Human Language Technology And Pattern Recognition Group"
397 条 记 录,以下是131-140 订阅
排序:
A Comparison of Transformer and LSTM Encoder Decoder Models for ASR
A Comparison of Transformer and LSTM Encoder Decoder Models ...
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IEEE Workshop on Automatic Speech recognition and Understanding
作者: Albert Zeyer Parnia Bahar Kazuki Irie Ralf Schlüter Hermann Ney AppTek GmbH Aachen Germany Human Language Technology and Pattern Recognition RWTH Aachen University Aachen Germany
We present competitive results using a Transformer encoder-decoder-attention model for end-to-end speech recognition needing less training time compared to a similarly performing LSTM model. We observe that the Transf... 详细信息
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The RWTH Aachen University Supervised Machine Translation Systems for WMT 2018  3
The RWTH Aachen University Supervised Machine Translation Sy...
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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: Schamper, Julian Rosendahl, Jan Bahar, Parnia Kim, Yunsu Nix, Arne Ney, Hermann Human Language Technology and Pattern Recognition Group Computer Science Department RWTH Aachen University AachenD-52056 Germany
This paper describes the statistical machine translation systems developed at RWTH Aachen University for the German→English, English→Turkish and Chinese→English translation tasks of the EMNLP 2018 Third Conference ... 详细信息
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Investigation on estimation of sentence probability by combining forward, backward and Bi-directional LSTM-RNNs  19
Investigation on estimation of sentence probability by combi...
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19th Annual Conference of the International Speech Communication, INTERSPEECH 2018
作者: Irie, Kazuki Lei, Zhihong Deng, Liuhui Schlüter, Ralf Ney, Hermann Human Language Technology and Pattern Recognition Group Computer Science Department RWTH Aachen University AachenD-52056 Germany
A combination of forward and backward long short-term memory (LSTM) recurrent neural network (RNN) language models is a popular model combination approach to improve the estimation of the sequence probability in the s... 详细信息
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On using specaugment for end-to-end speech translation
arXiv
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arXiv 2019年
作者: Bahar, Parnia Zeyer, Albert Schlüter, Ralf Ney, Hermann Human Language Technology and Pattern Recognition Group Computer Science Department RWTH Aachen University Aachen52062 Germany AppTek Aachen52062 Germany
This work investigates a simple data augmentation technique, SpecAugment, for end-to-end speech translation. SpecAugment is a low-cost implementation method applied directly to the audio input features and it consists...
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On using 2D sequence-to-sequence models for speech recognition
arXiv
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arXiv 2019年
作者: Bahar, Parnia Zeyer, Albert Schlüter, Ralf Ney, Hermann Human Language Technology and Pattern Recognition Group Computer Science Department RWTH Aachen University AachenD-52056 Germany AppTek McLean United States
Attention-based sequence-to-sequence models have shown promising results in automatic speech recognition. Using these architectures, one-dimensional input and output sequences are related by an attention approach, the... 详细信息
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language modeling with deep transformers
arXiv
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arXiv 2019年
作者: Irie, Kazuki Zeyer, Albert Schlüter, Ralf Ney, Hermann Human Language Technology and Pattern Recognition Group Computer Science Department RWTH Aachen University Aachen52074 Germany AppTek GmbH Aachen52062 Germany
We explore deep autoregressive Transformer models in language modeling for speech recognition. We focus on two aspects. First, we revisit Transformer model configurations specifically for language modeling. We show th... 详细信息
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A neural, interactive-predictive system for multimodal sequence to sequence tasks
arXiv
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arXiv 2019年
作者: Peris, Álvaro Casacuberta, Francisco Pattern Recognition and Human Language Technology Research Center Universitat Politècnica de València València Spain
We present a demonstration of a neural interactive-predictive system for tackling multimodal sequence to sequence tasks. The system generates text predictions to different sequence to sequence tasks: machine translati... 详细信息
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Interactive-predictive neural multimodal systems?
arXiv
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arXiv 2019年
作者: Peris, Álvaro Casacuberta, Francisco Pattern Recognition and Human Language Technology Research Center Universitat Politècnica de València València Spain
Despite the advances achieved by neural models in sequence to sequence learning, exploited in a variety of tasks, they still make errors. In many use cases, these are corrected by a human expert in a posterior revisio... 详细信息
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A Q-learning-based smart clustering routing method in flying Ad Hoc networks
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Journal of King Saud University - Computer and Information Sciences 2024年 第1期36卷
作者: Hosseinzadeh, Mehdi Tanveer, Jawad Rahmani, Amir Masoud Aurangzeb, Khursheed Yousefpoor, Efat Yousefpoor, Mohammad Sadegh Darwesh, Aso Lee, Sang-Woong Fazlali, Mahmood Institute of Research and Development Duy Tan University Da Nang Viet Nam School of Medicine and Pharmacy Duy Tan University Da Nang Viet Nam Department of Computer Science and Engineering Sejong University Seoul 05006 South Korea Future Technology Research Center National Yunlin University of Science and Technology Yunlin Taiwan Department of Computer Engineering College of Computer and Information Sciences King Saud University P.O. Box 51178 Riyadh 11543 Saudi Arabia Department of Computer Engineering Dezful Branch Islamic Azad University Dezful Iran Department of Information Technology University of Human Development Sulaymaniyah Iraq Pattern Recognition and Machine Learning Lab Gachon University 1342 Seongnamdaero Sujeonggu Seongnam 13120 South Korea Cybersecurity and Computing Systems Research Group School of Physics Engineering and Computer Science University of Hertfordshire Hertfordshire AL10 9AB United Kingdom
Flying ad hoc networks (FANETs) have particular importance in various military and civilian applications due to their specific features, including frequent topological changes, the movement of drones in a three-dimens... 详细信息
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On the choice of modeling unit for sequence-to-sequence speech recognition
arXiv
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arXiv 2019年
作者: Irie, Kazuki Prabhavalkar, Rohit Kannan, Anjuli Bruguier, Antoine Rybach, David Nguyen, Patrick Human Language Technology and Pattern Recognition Group Computer Science Department RWTH Aachen University AachenD-52056 Germany Google Mountain ViewCA94043 United States
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