World's Best Scientists 2026 revealed!
Reinhold Haeb-Umbach

Reinhold Haeb-Umbach

D-Index & Metrics

Computer Science

D-Index
41
Citations
8423
World Ranking
8738
National Ranking
436

Reinhold Haeb-Umbach publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Reinhold Haeb-Umbach sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 291 publications — 72nd percentile

72% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Reinhold Haeb-Umbach D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Reinhold Haeb-Umbach sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 41 D-Index — 40th percentile

40% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Research.com Recognitions

  • 2020 - IEEE Fellow For contributions to robustness of automatic speech recognition

Overview

Reinhold Haeb-Umbach is affiliated with the University of Paderborn in Germany and has an extensive publication record in the field of computer science, with a particular focus on signal processing and artificial intelligence. Their research primarily centers on speech and audio processing, covering areas such as speech recognition and synthesis as well as music and audio processing.

The scientist has contributed to several high-profile publications, including papers on automatic speech recognition and sound event detection. Recent papers include:

  • "Far-Field Automatic Speech Recognition", 2020, Proceedings of the IEEE
  • "Explanation as a Social Practice: Toward a Conceptual Framework for the Social Design of AI Systems", 2020, IEEE Transactions on Cognitive and Developmental Systems
  • "Threshold Independent Evaluation of Sound Event Detection Scores", 2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • "End-to-End Dereverberation, Beamforming, and Speech Recognition with Improved Numerical Stability and Advanced Frontend", 2021, arXiv (Cornell University)
  • "TS-SEP: Joint Diarization and Separation Conditioned on Estimated Speaker Embeddings", 2024, IEEE/ACM Transactions on Audio Speech and Language Processing

The main fields of study encompass 154 publications in computer science, with significant subfields including 85 publications in signal processing, 58 in artificial intelligence, 10 in computational mechanics, 6 in computer vision and pattern recognition, and 5 in electrical and electronic engineering.

Frequent collaboration is evident with several co-authors, notably Christoph Boeddeker, Thilo von Neumann, Joerg Schmalenstroeer, Marc Delcroix, and Jens Heitkaemper. These co-authors have contributed to numerous joint publications, reflecting ongoing collaborative research efforts.

Reinhold Haeb-Umbach's research is often published in venues such as arXiv (Cornell University), Zenodo (CERN European Organization for Nuclear Research), ICASSP conferences, Interspeech conferences, and IEEE/ACM Transactions on Audio Speech and Language Processing. The scientist has contributed 44 papers to arXiv and 12 to Zenodo, as well as others in respected conference proceedings and journals.

Their work covers topics including advanced adaptive filtering techniques, speech and dialogue systems, indoor and outdoor localization technologies, and natural language processing techniques, alongside the core focus areas in speech and audio processing and recognition.

In 2020, Reinhold Haeb-Umbach was recognized as an IEEE Fellow for contributions to the robustness of automatic speech recognition.

Best Publications

  • An overview of noise-robust automatic speech recognition

    Jinyu Li;Li Deng;Yifan Gong;Reinhold Haeb-Umbach

  • Multiclass linear dimension reduction by weighted pairwise Fisher criteria

    M. Loog;R.P.W. Duin;R. Haeb-Umbach

  • Linear discriminant analysis for improved large vocabulary continuous speech recognition

    R. Haeb-Umbach;H. Ney

  • Neural network based spectral mask estimation for acoustic beamforming

    Jahn Heymann;Lukas Drude;Reinhold Haeb-Umbach

  • A summary of the REVERB challenge: state-of-the-art and remaining challenges in reverberant speech processing research

    Keisuke Kinoshita;Marc Delcroix;Sharon Gannot;Emanuël A. P. Habets

  • Improvements in beam search for 10000-word continuous speech recognition

    H. Ney;R. Haeb-Umbach;B.-H. Tran;M. Oerder

  • BLSTM supported GEV beamformer front-end for the 3RD CHiME challenge

    Jahn Heymann;Lukas Drude;Aleksej Chinaev;Reinhold Haeb-Umbach

  • Speech Processing for Digital Home Assistants: Combining signal processing with deep-learning techniques

    Reinhold Haeb-Umbach;Shinji Watanabe;Tomohiro Nakatani;Michiel Bacchiani

  • Front-end processing for the CHiME-5 dinner party scenario

    Christoph Boeddeker;Jens Heitkaemper;Joerg Schmalenstroeer;Lukas Drude

  • Beamnet: End-to-end training of a beamformer-supported multi-channel ASR system

    Jahn Heymann;Lukas Drude;Christoph Boeddeker;Patrick Hanebrink

  • Improvements in beam search for 10000-word continuous-speech recognition

    R. Haeb-Umbach;H. Ney

  • Blind speech separation employing directional statistics in an Expectation Maximization framework

    Dang Hai Tran Vu;Reinhold Haeb-Umbach

  • Far-Field Automatic Speech Recognition

    Reinhold Haeb-Umbach;Jahn Heymann;Lukas Drude;Shinji Watanabe

  • All-neural Online Source Separation, Counting, and Diarization for Meeting Analysis

    Thilo von Neumann;Keisuke Kinoshita;Marc Delcroix;Shoko Araki

  • Improvements in connected digit recognition using linear discriminant analysis and mixture densities

    R. Haeb-Umbach;D. Geller;H. Ney

  • European speech databases for telephone applications

    H. Hoge;H.S. Tropf;R. Winski;H. van den Heuvel

  • Acoustic Microphone Geometry Calibration: An overview and experimental evaluation of state-of-the-art algorithms

    Axel Plinge;Florian Jacob;Reinhold Haeb-Umbach;Gernot A. Fink

  • Speech Enhancement With a GSC-Like Structure Employing Eigenvector-Based Transfer Function Ratios Estimation

    A Krueger;E Warsitz;R Haeb-Umbach

  • NARA-WPE: A Python package for weighted prediction error dereverberation in Numpy and Tensorflow for online and offline processing

    Lukas Drude;Jahn Heymann;Christoph Boeddeker;Reinhold Haeb-Umbach

  • Fundamentals of speech recognition

    Jinyu Li;Li Deng;Reinhold Haeb-Umbach;Yifan Gong

  • Robust Automatic Speech Recognition - A Bridge to Practical Applications (1st Edition)

    Jinyu Li;Li Deng;R. Haeb-Umbach;Y. Gong

  • Robust Automatic Speech Recognition

    Jinyu Li;Li Deng;Reinhold Haeb-Umbach;Y. Gong

Frequent Co-Authors

Marc Delcroix
Marc Delcroix NTT (Japan)
Hermann Ney
Hermann Ney RWTH Aachen University
Jinyu Li
Jinyu Li Microsoft (United States)
Li Deng
Li Deng Citadel
Yifan Gong
Yifan Gong Microsoft (United States)
Bhiksha Raj
Bhiksha Raj Carnegie Mellon University
Walter Kellermann
Walter Kellermann University of Erlangen-Nuremberg
Ralf Schlüter
Ralf Schlüter RWTH Aachen University

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