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Reinhold Haeb-Umbach

Reinhold Haeb-Umbach

D-Index & Metrics

Computer Science

D-Index
41
Citations
8423
World Ranking
8739
National Ranking
435

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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