World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
31
Citations
4030
World Ranking
13677
National Ranking
659

Overview

Jan Niehues is affiliated with the Karlsruhe Institute of Technology in Germany, focusing on research predominantly in the field of computer science with a particular emphasis on artificial intelligence. Their scholarly output spans over 110 publications within this main domain.

The research subfields where Jan Niehues has made contributions include:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Signal Processing
  • General Health Professions
  • Experimental and Cognitive Psychology

Key topics explored in their work cover:

  • Natural Language Processing Techniques
  • Topic Modeling
  • Speech Recognition and Synthesis
  • Speech and dialogue systems
  • Text Readability and Simplification
  • Multimodal Machine Learning Applications
  • Speech and Audio Processing

Jan Niehues has collaborated frequently with several coauthors, among them:

  • Danni Liu
  • Tu Anh Dinh
  • Alexander Waibel
  • Sai Koneru
  • Ngoc-Quan Pham

Their recent notable papers include:

  • "Incremental learning of humanoid robot behavior from natural interaction and large language models", 2024, Frontiers in Robotics and AI
  • "Joint modelling of audio-visual cues using attention mechanisms for emotion recognition", 2022, Multimedia Tools and Applications
  • "Adaptive multilingual speech recognition with pretrained models", 2022, Interspeech 2022
  • "Improving Zero-Shot Translation by Disentangling Positional Information", 2021, Repository KITopen (Karlsruhe Institute of Technology)
  • "Low Latency ASR for Simultaneous Speech Translation", 2020, arXiv (Cornell University)

The venues where Jan Niehues has frequently published comprise:

  • arXiv (Cornell University)
  • Repository KITopen (Karlsruhe Institute of Technology)
  • ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • Frontiers in Robotics and AI
  • Multimedia Tools and Applications

Best Publications

  • Toward Multilingual Neural Machine Translation with Universal Encoder and Decoder

    Thanh-Le Ha;Jan Niehues;Alexander H. Waibel

  • Report on the 11th IWSLT Evaluation Campaign, IWSLT 2014

    Mauro Cettolo;J. Niehues;S. Stüker;Luisa Bentivogli

  • Very Deep Self-Attention Networks for End-to-End Speech Recognition.

    Ngoc-Quan Pham;Thai-Son Nguyen;Jan Niehues;Markus Müller

  • The IWSLT 2015 Evaluation Campaign

    Mauro Cettolo;Jan Niehues;Sebastian Stüker;Luisa Bentivogli

  • Report on the 11th IWSLT evaluation campaign.

    Mauro Cettolo;Jan Niehues;Sebastian Stüker;Luisa Bentivogli

  • Findings of the IWSLT 2022 Evaluation Campaign

    Unknown

  • Self-Attentional Acoustic Models

    Matthias Sperber;Jan Niehues;Graham Neubig;Sebastian Stüker

  • Exploiting Linguistic Resources for Neural Machine Translation Using Multi-task Learning

    Jan Niehues;Eunah Cho

  • Overview of the IWSLT 2017 Evaluation Campaign

    Mauro Cettolo;Marcello Federico;Luisa Bentivogli;Niehues Jan

  • FINDINGS OF THE IWSLT 2020 EVALUATION CAMPAIGN

    Ebrahim Ansari;Amittai Axelrod;Nguyen Bach;Ondrej Bojar

  • Attention-Passing Models for Robust and Data-Efficient End-to-End Speech Translation

    Matthias Sperber;Graham Neubig;Jan Niehues;Alex Waibel;Alex Waibel

  • The IWSLT 2018 Evaluation Campaign

    Niehues Jan;Roldano Cattoni;Stüker Sebastian;Mauro Cettolo

  • Report on the 10th IWSLT evaluation campaign.

    Mauro Cettolo;Jan Niehues;Sebastian Stüker;Luisa Bentivogli

  • The IWSLT 2019 Evaluation Campaign

    J. Niehues;R. Cattoni;S. Stüker;M. Negri

  • Improving Sequence-To-Sequence Speech Recognition Training with On-The-Fly Data Augmentation

    Thai-Son Nguyen;Sebastian Stuker;Jan Niehues;Alex Waibel

  • Pre-Translation for Neural Machine Translation.

    Jan Niehues;Eunah Cho;Thanh-Le Ha;Alex Waibel

  • A POS-Based Model for Long-Range Reorderings in SMT

    Jan Niehues;Muntsin Kolss

  • Wider Context by Using Bilingual Language Models in Machine Translation

    Jan Niehues;Teresa Herrmann;Stephan Vogel;Alex Waibel

  • FINDINGS OF THE IWSLT 2023 EVALUATION CAMPAIGN

    Unknown

  • Neural Lattice-to-Sequence Models for Uncertain Inputs

    Matthias Sperber;Graham Neubig;Jan Niehues;Alex Waibel

  • Very Deep Self-Attention Networks for End-to-End Speech Recognition

    Ngoc-Quan Pham;Thai-Son Nguyen;Jan Niehues;Markus Müller

  • Discriminative Word Alignment via Alignment Matrix Modeling

    Jan Niehues;Stephan Vogel

  • Segmentation and punctuation prediction in speech language translation using a monolingual translation system.

    Eunah Cho;Jan Niehues;Alex Waibel

  • FINDINGS OF THE IWSLT 2021 EVALUATION CAMPAIGN

    Antonios Anastasopoulos;Ondrej Bojar;Jacob Bremerman;Roldano Cattoni

  • Low-latency neural speech translation

    Jan Niehues;Ngoc-Quan Pham;Thanh-Le Ha;Matthias Sperber

  • Pre-Translation for Neural Machine Translation

    Jan Niehues;Eunah Cho;Thanh-Le Ha;Alex Waibel

Frequent Co-Authors

Alex Waibel
Alex Waibel Carnegie Mellon University
Marcello Federico
Marcello Federico Amazon (United States)
Graham Neubig
Graham Neubig Carnegie Mellon University
Hermann Ney
Hermann Ney RWTH Aachen University
Mauro Cettolo
Mauro Cettolo Fondazione Bruno Kessler
Luisa Bentivogli
Luisa Bentivogli Fondazione Bruno Kessler
Stephan Vogel
Stephan Vogel University of Graz
Marco Turchi
Marco Turchi Fondazione Bruno Kessler
Ondrej Bojar
Ondrej Bojar Charles University
Lucia Specia
Lucia Specia Imperial College London

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Interested in fields connected to Computer Science? Today's students have more flexible ways to get ahead—many top programs offer online degrees and certifications that open doors to growing careers.

For example, if you’re curious about physics and want flexibility, you may wonder, can you get a physics degree online? The answer is yes—there are affordable online options that let you study at your own pace.

Those drawn to big data may benefit from following a data science learning path, where online degrees and certificates help you build vital analytics skills.

If engineering excites you, explore electrical engineering degree online admissions information to compare remote study programs and requirements.

Looking for faster entry into the workforce? Consider easy licenses and certifications to get, which can boost your job prospects and earning potential in less time.

Choosing the right online degree or certification can give you the foundation you need for a successful tech career—on your own schedule.

Best Scientists Citing Jan Niehues

Trending Scientists