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Hermann Ney

  1. RETURNN: The RWTH Extensible Training framework for Universal Recurrent Neural Networks
    2016/08/02 by Patrick Doetsch, Doetsch, Patrick, Albert Zeyer +9 · 1 voice · 2 citations
    Computer Science · #Neural Networks and Applications #Speech Recognition and Synthesis #Topic Modeling #cs.CL #cs.LG #cs.NE
  2. When and Why is Document-level Context Useful in Neural Machine Translation?
    2019/10/01 by Yunsu Kim, Duc Thanh Tran, Kim, Yunsu +3 · 4 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
  3. Investigating Methods to Improve Language Model Integration for\n Attention-based Encoder-Decoder ASR Models
    2021/04/12 by Mohammad Zeineldeen, Zeineldeen, Mohammad, Aleksandr Glushko +9 · 4 citations
    Computer Science · #Audio and Speech Processing (eess.AS) #Computation and Language (cs.CL) #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (stat.ML) #Natural Language Processing Techniques #Sound (cs.SD) #Speech Recognition and Synthesis #Topic Modeling #electronic engineering #information engineering
  4. Effective Cross-lingual Transfer of Neural Machine Translation Models without Shared Vocabularies
    2019/05/14 by Yunsu Kim, Yingbo Gao, Kim, Yunsu +3 · 3 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
  5. Conformer-based Hybrid ASR System for Switchboard Dataset
    2021/11/05 by Mohammad Zeineldeen, Jingjing Xu, Zeineldeen, Mohammad +11 · 2 citations
    Computer Science · #Audio and Speech Processing (eess.AS) #Computation and Language (cs.CL) #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (stat.ML) #Music and Audio Processing #Natural Language Processing Techniques #Speech Recognition and Synthesis #electronic engineering #information engineering
  6. Document-Level Language Models for Machine Translation
    2023/10/18 by Frithjof Petrick, Christian Herold, Petrick, Frithjof +7 · 3 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Text Readability and Simplification #Topic Modeling
  7. On Language Model Integration for RNN Transducer based Speech Recognition
    2021/10/13 by Wei Zhou, Zhou, Wei, Zuoyun Zheng +5 · 3 citations
    Computer Science · #Audio and Speech Processing (eess.AS) #Computation and Language (cs.CL) #FOS: Computer and information sciences #FOS: Electrical engineering #Natural Language Processing Techniques #Speech Recognition and Synthesis #Speech and Audio Processing #electronic engineering #information engineering
  8. ELoPE: Fine-Grained Visual Classification with Efficient Localization,\n Pooling and Embedding
    2019/11/17 by Harald Hanselmann, Hermann Ney, Hanselmann, Harald +1 · 1 citation
    Biochemistry, Genetics and Molecular Biology · Computer Science · Environmental Science · #Animal Vocal Communication and Behavior #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Video Surveillance and Tracking Methods #Wildlife-Road Interactions and Conservation
  9. Successfully Applying the Stabilized Lottery Ticket Hypothesis to the\n Transformer Architecture
    2020/05/04 by Christopher Brix, Parnia Bahar, Brix, Christopher +3 · 1 citation
    Decision Sciences · Computer Science · #Stock Market Forecasting Methods #Neural Networks and Applications #Neural Networks and Reservoir Computing
  10. Fine-Grained Visual Classification with Efficient End-to-end Localization
    2020/05/11 by Harald Hanselmann, Hermann Ney, Hanselmann, Harald +1 · 1 citation
    Computer Science · #Advanced Image and Video Retrieval Techniques #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences
  11. Adapting Document-Grounded Dialog Systems to Spoken Conversations using Data Augmentation and a Noisy Channel Model
    2021/12/16 by David Thulke, Nico Daheim, Thulke, David +5 · 1 citation
    Computer Science · #Speech and dialogue systems #Topic Modeling #Multimodal Machine Learning Applications
  12. The RWTH ASR System for TED-LIUM Release 2: Improving Hybrid HMM with SpecAugment
    2020/04/02 by Wei Zhou, Wilfried Michel, Zhou, Wei +9 · 1 citation
    Computer Science · #Audio and Speech Processing (eess.AS) #FOS: Computer and information sciences #FOS: Electrical engineering #Natural Language Processing Techniques #Sound (cs.SD) #Speech Recognition and Synthesis #Topic Modeling #electronic engineering #information engineering
  13. Monotonic segmental attention for automatic speech recognition
    2022/10/26 by Albert Zeyer, Robin Schmitt, Zeyer, Albert +7 · 1 citation
    Computer Science · #Audio and Speech Processing (eess.AS) #Computation and Language (cs.CL) #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Music and Audio Processing #Sound (cs.SD) #Speech Recognition and Synthesis #Speech and Audio Processing #electronic engineering #information engineering
  14. Is Encoder-Decoder Redundant for Neural Machine Translation?
    2022/10/21 by Yingbo Gao, Christian Herold, Gao, Yingbo +5 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
  15. Efficient Utilization of Large Pre-Trained Models for Low Resource ASR
    2022/10/26 by Peter Vieting, Vieting, Peter, Christoph Lüscher +7 · 1 citation
    Computer Science · Psychology · #Speech Recognition and Synthesis #Speech and Audio Processing #Phonetics and Phonology Research
  16. Does Joint Training Really Help Cascaded Speech Translation?
    2022/10/24 by Viet Anh Tran, Tran, Viet Anh Khoa, David Thulke +7 · 1 citation
    Computer Science · #Audio and Speech Processing (eess.AS) #Computation and Language (cs.CL) #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Natural Language Processing Techniques #Speech Recognition and Synthesis #Topic Modeling #electronic engineering #information engineering
  17. Improving Long Context Document-Level Machine Translation
    2023/06/08 by Christian Herold, Herold, Christian, Hermann Ney +1 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
  18. A comprehensive study of batch construction strategies for recurrent neural networks in MXNet
    2017/05/05 by Patrick Doetsch, Doetsch, Patrick, Pavel Golik +3 · 1 citation
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Music and Audio Processing #Natural Language Processing Techniques #Speech Recognition and Synthesis
  19. LSTM Language Models for LVCSR in First-Pass Decoding and\n Lattice-Rescoring
    2019/07/01 by Eugen Beck, Wei Zhou, Beck, Eugen +5 · 1 citation
    Computer Science · #Audio and Speech Processing (eess.AS) #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Natural Language Processing Techniques #Sound (cs.SD) #Speech Recognition and Synthesis #Speech and dialogue systems #Topic Modeling #electronic engineering #information engineering
  20. The Conformer Encoder May Reverse the Time Dimension
    2024/10/01 by Robin Schmitt, Albert Zeyer, Schmitt, Robin +7 · 1 citation
    Computer Science · #Audio and Speech Processing (eess.AS) #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (stat.ML) #Sensor Technology and Measurement Systems #Sound (cs.SD) #electronic engineering #information engineering
  21. Prompting and Fine-Tuning of Small LLMs for Length-Controllable Telephone Call Summarization
    2024/10/24 by David Thulke, Thulke, David, Yingbo Gao +7 · 1 citation
    Computer Science · #Service-Oriented Architecture and Web Services #Distributed systems and fault tolerance #Advanced Database Systems and Queries