World's Best Scientists 2026 revealed!
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Computer Science
Germany
2025

D-Index & Metrics

Computer Science

D-Index
69
Citations
16373
World Ranking
1996
National Ranking
78

Research.com Recognitions

  • 2025 - Research.com Computer Science in Germany Leader Award
  • 2023 - Research.com Computer Science in Germany Leader Award
  • 2022 - Research.com Computer Science in Germany Leader Award
  • 2020 - IEEE Fellow For contributions to multilingual speech recognition and biosignal processing
  • Member of the European Academy of Sciences and Arts
  • Member of the European Academy of Sciences and Arts
  • Member of the European Academy of Sciences and Arts

Overview

Tanja Schultz is affiliated with the University of Bremen in Germany. Their research activity spans multiple intersecting fields, primarily within Computer Science and Neuroscience. The main areas of study include Cognitive Neuroscience, Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, and Experimental and Cognitive Psychology.

The scientific work addresses several focused research topics including EEG and Brain-Computer Interfaces, Context-Aware Activity Recognition Systems, Speech Recognition and Synthesis, Neural dynamics and brain function, Anomaly Detection Techniques and Applications, Speech and Audio Processing, and Music and Audio Processing.

Tanja Schultz has authored numerous papers published in various venues. Notable recent publications include:

  • TSFEL: Time Series Feature Extraction Library, 2020, SoftwareX
  • Real-time synthesis of imagined speech processes from minimally invasive recordings of neural activity, 2021, Communications Biology
  • Outlier detection using iterative adaptive mini-minimum spanning tree generation with applications on medical data, 2023, Frontiers in Physiology
  • MS2OD: outlier detection using minimum spanning tree and medoid selection, 2024, Machine Learning Science and Technology
  • The nested hierarchy of overt, mouthed, and imagined speech activity evident in intracranial recordings, 2023, NeuroImage

The scientist frequently publishes in venues such as arXiv (Cornell University), ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing, Interspeech 2022, Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies, and Frontiers in Computer Science.

Collaborative work features repeated coauthorship with other researchers, notably Hui Liu, Felix Putze, Dean J. Krusienski, Haizhou Li, and Christian Herff, reflecting consistent partnerships in their research projects.

Tanja Schultz has been recognized with several distinctions including being named IEEE Fellow in 2020 for contributions to multilingual speech recognition and biosignal processing. Additionally, they hold membership in the European Academy of Sciences and Arts.

Best Publications

  • Silent speech interfaces

    B. Denby;T. Schultz;K. Honda;T. Hueber

  • Automatic speech recognition for under-resourced languages: A survey

    Laurent Besacier;Etienne Barnard;Alexey Karpov;Tanja Schultz

  • Language-independent and language-adaptive acoustic modeling for speech recognition

    Tanja Schultz;Tanja Schultz;Alex Waibel;Alex Waibel

  • TSFEL: Time Series Feature Extraction Library

    Marília Barandas;Duarte Folgado;Letícia Fernandes;Sara Santos

  • Mental workload during n-back task-quantified in the prefrontal cortex using fNIRS.

    Christian Herff;Dominic Heger;Ole Fortmann;Johannes Hennrich

  • Brain-to-text: Decoding spoken phrases from phone representations in the brain

    Christian Herff;Dominic Heger;Adriana de Pesters;Adriana de Pesters;Dominic Telaar

  • GlobalPhone: A Multilingual Speech and Text Database developed at Karlsruhe University

    Tanja Schultz

  • Multilingual Speech Processing

    Tanja Schultz;Katrin Kirchhoff

  • Modeling coarticulation in EMG-based continuous speech recognition

    Tanja Schultz;Michael Wand

  • Speech synthesis from ECoG using densely connected 3D convolutional neural networks

    Miguel Angrick;Christian Herff;Christian Herff;Emily Mugler;Matthew C Tate

  • Comparison of acoustic model adaptation techniques on non-native speech

    Zhirong Wang;T. Schultz;A. Waibel

  • Biosignal-Based Spoken Communication: A Survey

    Tanja Schultz;Michael Wand;Thomas Hueber;Dean J. Krusienski

  • Advancing Muscle-Computer Interfaces with High-Density Electromyography

    Christoph Amma;Thomas Krings;Jonas Böer;Tanja Schultz

  • Advances in automatic meeting record creation and access

    A. Waibel;M. Bett;F. Metze;K. Ries

  • Towards Continuous Speech Recognition Using Surface Electromyography

    Szu-Chen Stan Jou;Tanja Schultz;Matthias Walliczek;Florian Kraft

  • A first speech recognition system for Mandarin-English code-switch conversational speech

    Ngoc Thang Vu;Dau-Cheng Lyu;Jochen Weiner;Dominic Telaar

  • Recognition of music types

    H. Soltau;T. Schultz;M. Westphal;A. Waibel

  • Grapheme Based Speech Recognition

    Mirjam Killer;Sebastian St ¨ uker;Tanja Schultz

  • Session independent non-audible speech recognition using surface electromyography

    L. Maier-Hein;F. Metze;T. Schultz;A. Waibel

  • Towards emotion recognition from electroencephalographic signals

    Kristina Schaaff;Tanja Schultz

Frequent Co-Authors

Alex Waibel
Alex Waibel Carnegie Mellon University
Michael Wand
Michael Wand Johannes Gutenberg University of Mainz
Florian Metze
Florian Metze Carnegie Mellon University
Alan W. Black
Alan W. Black Carnegie Mellon University
Stephan Vogel
Stephan Vogel University of Graz
Hagen Soltau
Hagen Soltau Google (United States)
Alon Lavie
Alon Lavie Carnegie Mellon University
Katrin Kirchhoff
Katrin Kirchhoff Amazon (United States)
Rainer Stiefelhagen
Rainer Stiefelhagen Karlsruhe Institute of Technology
Gerwin Schalk
Gerwin Schalk Sichuan University

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