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D-Index & Metrics

Engineering and Technology

D-Index
40
Citations
7423
World Ranking
7250
National Ranking
246

Overview

Emanuel A. P. Habets is affiliated with the University of Erlangen-Nuremberg in Germany. Their research primarily spans the field of Computer Science with a strong emphasis on Signal Processing, encompassing 97 publications within this subfield. Additional areas of study include Artificial Intelligence, Cognitive Neuroscience, Biomedical Engineering, and Computer Vision and Pattern Recognition.

The scientist's scholarly output focuses predominantly on topics such as Speech and Audio Processing, Music and Audio Processing, and Speech Recognition and Synthesis. Other notable themes in their work are Hearing Loss and Rehabilitation, Acoustic Wave Phenomena Research, Advanced Adaptive Filtering Techniques, and Underwater Acoustics Research.

Habets has contributed to numerous research articles published in a variety of venues. Frequent publication outlets include:

  • arXiv (Cornell University)
  • The Journal of the Acoustical Society of America
  • IEEE/ACM Transactions on Audio Speech and Language Processing
  • Zenodo (CERN European Organization for Nuclear Research)
  • Applied Acoustics

Recent papers authored or co-authored by Habets encompass the following titles:

  • "Spatial audio signal processing for binaural reproduction of recorded acoustic scenes - review and challenges," 2022, Acta Acustica
  • "Quality of Experience in Telemeetings and Videoconferencing: A Comprehensive Survey," 2022, IEEE Access
  • "TDOA-Based Robust Sound Source Localization With Sparse Regularization in Wireless Acoustic Sensor Networks," 2022, IEEE/ACM Transactions on Audio Speech and Language Processing
  • "Direction and Reverberation Preserving Noise Reduction of Ambisonics Signals," 2020, IEEE/ACM Transactions on Audio Speech and Language Processing
  • "Online reverberation time and clarity estimation in dynamic acoustic conditions," 2023, The Journal of the Acoustical Society of America

Collaborations are an integral part of Habets's research, with frequent coauthors including Çağdaş Tuna, Andreas Walther, Srikanth Raj Chetupalli, Albert G. Prinn, and Wolfgang Mack. These partnerships have contributed to a substantial body of work advancing the understanding and application of audio and speech processing technologies.

Best Publications

  • 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

  • Multi-Speaker DOA Estimation Using Deep Convolutional Networks Trained With Noise Signals

    Soumitro Chakrabarty;Emanuel A. P. Habets

  • Broadband doa estimation using convolutional neural networks trained with noise signals

    Soumitro Chakrabarty;Emanuel A. P. Habets

  • Generating sensor signals in isotropic noise fields.

    Emanuël A. P. Habets;Sharon Gannot

  • Late Reverberant Spectral Variance Estimation Based on a Statistical Model

    E.A.P. Habets;S. Gannot;I. Cohen

  • New Insights Into the MVDR Beamformer in Room Acoustics

    E. Habets;J. Benesty;I. Cohen;S. Gannot

  • Generating nonstationary multisensor signals under a spatial coherence constraint.

    Emanuël A. P. Habets;Israel Cohen;Sharon Gannot

  • Inference of Room Geometry From Acoustic Impulse Responses

    F. Antonacci;J. Filos;M. R. P. Thomas;E. A. P. Habets

  • Theory and Applications of Spherical Microphone Array Processing

    Daniel P. Jarrett;Emanuël A.P. Habets;Patrick A. Naylor

  • Rigid sphere room impulse response simulation: algorithm and applications.

    D. P. Jarrett;E. A. P. Habets;M. R. P. Thomas;P. A. Naylor

  • Deep Filtering: Signal Extraction and Reconstruction Using Complex Time-Frequency Filters

    Wolfgang Mack;Emanuel A. P. Habets

  • Blind estimation of reverberation time based on the distribution of signal decay rates

    J.Y.C. Wen;E.A.P. Habets;P.A. Naylor

  • MMSE-Based Blind Source Extraction in Diffuse Noise Fields Using a Complex Coherence-Based a Priori SAP Estimator

    Maja Taseska;Emanuel A. P. Habets

  • 3D source localization in the spherical harmonic domain using a pseudointensity vector

    Daniel P. Jarrett;Emanuel A. P. Habets;Patrick A. Naylor

  • Multi-microphone speech dereverberation and noise reduction using relative early transfer functions

    Ofer Schwartz;Sharon Gannot;Emanuel A. P. Habets

  • Online speech dereverberation using kalman filter and EM algorithm

    Boaz Schwartz;Sharon Gannot;Emanuel A. P. Habets

  • Multi-channel speech dereverberation based on a statistical model of late reverberation

    E.A.P. Habets

  • An informed parametric spatial filter based on instantaneous direction-of-arrival estimates

    Oliver Thiergart;Maja Taseska;Emanuël A. P. Habets

  • A Two-Stage Beamforming Approach for Noise Reduction and Dereverberation

    E. A. P. Habets;J. Benesty

  • Joint Dereverberation and Residual Echo Suppression of Speech Signals in Noisy Environments

    E.A.P. Habets;S. Gannot;I. Cohen;P. Sommen

  • Time–Frequency Masking Based Online Multi-Channel Speech Enhancement With Convolutional Recurrent Neural Networks

    Soumitro Chakrabarty;Emanuel A. P. Habets

  • Geometry-Based Spatial Sound Acquisition Using Distributed Microphone Arrays

    Oliver Thiergart;Giovanni Del Galdo;Maja Taseska;Emanuel A. P. Habets

  • Deep Filtering: Signal Extraction Using Complex Time-Frequency Filters.

    Wolfgang Mack;Emanuël A. P. Habets

Frequent Co-Authors

Sharon Gannot
Sharon Gannot Bar-Ilan University
Patrick A. Naylor
Patrick A. Naylor Imperial College London
Jacob Benesty
Jacob Benesty Institut National de la Recherche Scientifique
Israel Cohen
Israel Cohen Technion – Israel Institute of Technology
Augusto Sarti
Augusto Sarti Polytechnic University of Milan
Simon Doclo
Simon Doclo Carl von Ossietzky University of Oldenburg
Walter Kellermann
Walter Kellermann University of Erlangen-Nuremberg
Meinard Müller
Meinard Müller University of Erlangen-Nuremberg
Reinhold Haeb-Umbach
Reinhold Haeb-Umbach University of Paderborn
Ramani Duraiswami
Ramani Duraiswami University of Maryland, College Park

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