咨询与建议

限定检索结果

文献类型

  • 291 篇 会议
  • 110 篇 期刊文献

馆藏范围

  • 401 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 275 篇 工学
    • 204 篇 计算机科学与技术...
    • 187 篇 软件工程
    • 72 篇 信息与通信工程
    • 23 篇 生物工程
    • 20 篇 机械工程
    • 17 篇 控制科学与工程
    • 14 篇 电气工程
    • 14 篇 电子科学与技术(可...
    • 12 篇 光学工程
    • 9 篇 化学工程与技术
    • 7 篇 生物医学工程(可授...
    • 5 篇 仪器科学与技术
    • 3 篇 动力工程及工程热...
    • 2 篇 材料科学与工程(可...
    • 2 篇 土木工程
  • 174 篇 理学
    • 118 篇 物理学
    • 72 篇 数学
    • 42 篇 统计学(可授理学、...
    • 27 篇 生物学
    • 20 篇 系统科学
    • 10 篇 化学
    • 1 篇 地球物理学
  • 38 篇 管理学
    • 27 篇 图书情报与档案管...
    • 11 篇 管理科学与工程(可...
    • 5 篇 工商管理
  • 6 篇 法学
    • 5 篇 社会学
    • 1 篇 法学
  • 2 篇 经济学
    • 2 篇 应用经济学
  • 2 篇 文学
    • 2 篇 外国语言文学
    • 1 篇 中国语言文学
  • 1 篇 农学
  • 1 篇 医学
  • 1 篇 艺术学

主题

  • 70 篇 speech recogniti...
  • 42 篇 hidden markov mo...
  • 41 篇 training
  • 29 篇 neural machine t...
  • 25 篇 machine translat...
  • 21 篇 decoding
  • 20 篇 handwriting reco...
  • 18 篇 computer aided l...
  • 17 篇 recurrent neural...
  • 16 篇 feature extracti...
  • 15 篇 vocabulary
  • 15 篇 transducers
  • 13 篇 databases
  • 13 篇 error analysis
  • 11 篇 speech
  • 11 篇 pattern recognit...
  • 11 篇 humans
  • 9 篇 training data
  • 9 篇 modelling langua...
  • 9 篇 optimization

机构

  • 52 篇 human language t...
  • 40 篇 human language t...
  • 38 篇 apptek gmbh aach...
  • 32 篇 human language t...
  • 31 篇 human language t...
  • 23 篇 apptek gmbh aach...
  • 21 篇 human language t...
  • 16 篇 human language t...
  • 13 篇 human language t...
  • 12 篇 pattern recognit...
  • 10 篇 human language t...
  • 9 篇 spoken language ...
  • 9 篇 human language t...
  • 8 篇 computer science...
  • 8 篇 human language t...
  • 7 篇 pattern recognit...
  • 6 篇 pattern recognit...
  • 6 篇 human language t...
  • 6 篇 human language t...
  • 6 篇 human language t...

作者

  • 212 篇 ney hermann
  • 81 篇 hermann ney
  • 61 篇 schlüter ralf
  • 23 篇 ralf schluter
  • 21 篇 ralf schlüter
  • 20 篇 casacuberta fran...
  • 20 篇 wuebker joern
  • 18 篇 zeyer albert
  • 18 篇 zhou wei
  • 16 篇 gao yingbo
  • 14 篇 kim yunsu
  • 14 篇 herold christian
  • 13 篇 mansour saab
  • 13 篇 zeineldeen moham...
  • 13 篇 patrick doetsch
  • 13 篇 peitz stephan
  • 13 篇 huck matthias
  • 12 篇 peris álvaro
  • 12 篇 peter jan-thorst...
  • 12 篇 michel wilfried

语言

  • 398 篇 英文
  • 1 篇 西班牙文
  • 1 篇 其他
  • 1 篇 中文
检索条件"机构=Pattern Recognition and Human Language"
401 条 记 录,以下是91-100 订阅
排序:
Full-Sum Decoding for Hybrid Hmm Based Speech recognition Using LSTM language Model
Full-Sum Decoding for Hybrid Hmm Based Speech Recognition Us...
收藏 引用
IEEE International Conference on Acoustics, Speech and Signal Processing
作者: Wei Zhou Ralf Schluter Hermann Ney Human Language Technology and Pattern Recognition RWTH Aachen University Aachen Germany
In hybrid HMM based speech recognition, LSTM language models have been widely applied and achieved large improvements. The theoretical capability of modeling any unlimited context suggests that no recombination should...
来源: 评论
When and Why is Unsupervised Neural Machine Translation Useless?
arXiv
收藏 引用
arXiv 2020年
作者: Kim, Yunsu Graça, Miguel Ney, Hermann Human Language Technology and Pattern Recognition Group RWTH Aachen University Aachen Germany
This paper studies the practicality of the current state-of-the-art unsupervised methods in neural machine translation (NMT). In ten translation tasks with various data settings, we analyze the conditions under which ... 详细信息
来源: 评论
How Much Self-Attention Do We Needƒ Trading Attention for Feed-Forward Layers
How Much Self-Attention Do We Needƒ Trading Attention for F...
收藏 引用
International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: Kazuki Irie Alexander Gerstenberger Ralf Schlüter Hermann Ney Human Language Technology and Pattern Recognition Group RWTH Aachen University Aachen Germany
We propose simple architectural modifications in the standard Transformer with the goal to reduce its total state size (defined as the number of self-attention layers times the sum of the key and value dimensions, tim...
来源: 评论
Layer-Normalized LSTM for Hybrid-Hmm and End-To-End ASR
Layer-Normalized LSTM for Hybrid-Hmm and End-To-End ASR
收藏 引用
IEEE International Conference on Acoustics, Speech and Signal Processing
作者: Mohammad Zeineldeen Albert Zeyer Ralf Schluter Hermann Ney Human Language Technology and Pattern Recognition Group RWTH Aachen University Aachen Germany
Training deep neural networks is often challenging in terms of training stability. It often requires careful hyperparameter tuning or a pretraining scheme to converge. Layer normalization (LN) has shown to be a crucia...
来源: 评论
When and why is document-level context useful in neural machine translation?  4
When and why is document-level context useful in neural mach...
收藏 引用
4th Workshop on Discourse in Machine Translation, DiscoMT@EMNLP 2019
作者: Kim, Yunsu Tran, Duc Thanh Ney, Hermann Human Language Technology and Pattern Recognition Group RWTH Aachen University Aachen Germany
Document-level context has received lots of attention for compensating neural machine translation (NMT) of isolated sentences. However, recent advances in document-level NMT focus on sophisticated integration of the c... 详细信息
来源: 评论
A Comprehensive Study of Residual CNNS for Acoustic Modeling in ASR
A Comprehensive Study of Residual CNNS for Acoustic Modeling...
收藏 引用
IEEE International Conference on Acoustics, Speech and Signal Processing
作者: Vitalii Bozheniuk Albert Zeyer Ralf Schluter Hermann Ney Human Language Technology and Pattern Recognition Group RWTH Aachen University Aachen Germany
Long short-term memory (LSTM) networks are the dominant architecture for large vocabulary continuous speech recognition (LVCSR) acoustic modeling due to their good performance. However, LSTMs are hard to tune and comp... 详细信息
来源: 评论
ELoPE: Fine-Grained Visual Classification with Efficient Localization, Pooling and Embedding
ELoPE: Fine-Grained Visual Classification with Efficient Loc...
收藏 引用
IEEE Workshop on Applications of Computer Vision (WACV)
作者: Harald Hanselmann Hermann Ney Human Language Technology and Pattern Recognition Group RWTH Aachen University Aachen Germany
The task of fine-grained visual classification (FGVC) deals with classification problems that display a small inter-class variance such as distinguishing between different bird species or car models. State-of-the-art ... 详细信息
来源: 评论
Exploring A Zero-Order Direct Hmm Based on Latent Attention for Automatic Speech recognition
Exploring A Zero-Order Direct Hmm Based on Latent Attention ...
收藏 引用
IEEE International Conference on Acoustics, Speech and Signal Processing
作者: Parnia Bahar Nikita Makarov Albert Zeyer Ralf Schluter Hermann Ney Human Language Technology and Pattern Recognition Group RWTH Aachen University Aachen Germany
In this paper, we study a simple yet elegant latent variable attention model for automatic speech recognition (ASR) which enables an integration of attention sequence modeling into the direct hidden Markov model (HMM)...
来源: 评论
A neural, interactive-predictive system for multimodal sequence to sequence tasks  57
A neural, interactive-predictive system for multimodal seque...
收藏 引用
57th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, ACL 2019
作者: Peris, Álvaro Casacuberta, Francisco Pattern Recognition and Human Language Technology Research Center Universitat Politcnica de Valncia Valncia Spain
We present a demonstration of a neural interactive-predictive system for tackling mul- timodal sequence to sequence tasks. The sys- tem generates text predictions to different se- quence to sequence tasks: machine tra... 详细信息
来源: 评论
Automatic semantic segmentation of structural elements related to the spinal cord in the lumbar region by using convolutional neural networks  25
Automatic semantic segmentation of structural elements relat...
收藏 引用
25th International Conference on pattern recognition, ICPR 2020
作者: Saenz-Gamboa, Jhon Jairo de la Iglesia-Vayá, Maria Gómez, Jon A. Biomedical Imaging Joint Unit Foundation for the Promotion of Health and Biomedical Research FISABIO-CIPF València Spain Pattern Recognition and Human Language Technology research center Universitat Politècnica de València València Spain
This work addresses the problem of automatically segmenting the MR images corresponding to the lumbar spine. The purpose is to detect and delimit the different structural elements like vertebrae, intervertebral discs,... 详细信息
来源: 评论