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Computer Science

D-Index
33
Citations
8643
World Ranking
12400
National Ranking
606

Overview

Rainer Martin is affiliated with Ruhr University Bochum in Germany and has contributed extensively to research in the fields of Computer Science, Engineering, and Neuroscience.

Their research spans several subfields, including:

  • Signal Processing
  • Cognitive Neuroscience
  • Computational Mechanics
  • Speech and Hearing
  • Electrical and Electronic Engineering

Main topics of their work encompass:

  • Speech and Audio Processing
  • Hearing Loss and Rehabilitation
  • Music and Audio Processing
  • Advanced Adaptive Filtering Techniques
  • Noise Effects and Management
  • Neuroscience and Music Perception
  • Advanced SAR Imaging Techniques

Frequent publication venues include:

  • Laryngo-Rhino-Otologie
  • Otology & Neurotology
  • The Journal of the Acoustical Society of America
  • 2021 29th European Signal Processing Conference (EUSIPCO)
  • EURASIP Journal on Advances in Signal Processing

Noteworthy recent papers authored or coauthored by Rainer Martin are:

  • A Two-Stage DNN Model With Mask-Gated Convolution for Automotive Radar Interference Detection and Mitigation, 2022, IEEE Sensors Journal
  • A versatile deep-neural-network-based music preprocessing and remixing scheme for cochlear implant listeners, 2022, The Journal of the Acoustical Society of America
  • Nonauditory Functions in Low-performing Adult Cochlear Implant Users, 2020, Otology & Neurotology
  • Improved Target Detection Through DNN-Based Multi-Channel Interference Mitigation in Automotive Radar, 2023, IEEE Transactions on Radar Systems
  • Privacy-Preserving Audio Classification Using Variational Information Feature Extraction, 2021, IEEE/ACM Transactions on Audio Speech and Language Processing

Rainer Martin has collaborated frequently with several coauthors, including:

  • Christiane Völter
  • J Gauer
  • Anil Nagathil
  • Benjamin Lentz
  • Jalal Taghia

Best Publications

  • Noise power spectral density estimation based on optimal smoothing and minimum statistics

    R. Martin

  • Spectral Subtraction Based on Minimum Statistics

    Rainer Martin

  • Digital Speech Transmission: Enhancement, Coding and Error Concealment

    Peter Vary;Rainer Martin

  • Speech enhancement based on minimum mean-square error estimation and supergaussian priors

    R. Martin

  • Digital Speech Transmission

    Unknown

  • Speech enhancement using MMSE short time spectral estimation with gamma distributed speech priors

    Rainer Martin

  • An efficient algorithm to estimate the instantaneous SNR of speech signals.

    Rainer Martin

  • A psychoacoustic approach to combined acoustic echo cancellation and noise reduction

    S. Gustafsson;R. Martin;P. Jax;P. Vary

  • A novel a priori SNR estimation approach based on selective cepstro-temporal smoothing

    C. Breithaupt;T. Gerkmann;R. Martin

  • Combined acoustic echo control and noise reduction for hands-free telephony

    S. Gustafsson;R. Martin;P. Vary

  • SPEECH ENHANCEMENT IN THE DFT DOMAIN USING LAPLACIAN SPEECH PRIORS

    Rainer Martin;Colin Breithaupt

  • Bias compensation methods for minimum statistics noise power spectral density estimation

    Rainer Martin

  • Improved A Posteriori Speech Presence Probability Estimation Based on a Likelihood Ratio With Fixed Priors

    T. Gerkmann;C. Breithaupt;R. Martin

  • Spoofing Detection in Automatic Speaker Verification Systems Using DNN Classifiers and Dynamic Acoustic Features

    Hong Yu;Zheng-Hua Tan;Zhanyu Ma;Rainer Martin

  • Cepstral Smoothing of Spectral Filter Gains for Speech Enhancement Without Musical Noise

    C. Breithaupt;T. Gerkmann;R. Martin

  • Advances in Digital Speech Transmission

    Rainer Martin;Ulrich Heute;Christiane Antweiler

  • Phase estimation for signal reconstruction in single-channel source separation

    R. Saeidi;P. Mowlaee;R. Martin

  • Statistical Methods for the Enhancement of Noisy Speech

    Rainer Martin

  • New speech enhancement techniques for low bit rate speech coding

    R. Martin;R.V. Cox

  • Parameterized MMSE spectral magnitude estimation for the enhancement of noisy speech

    C. Breithaupt;M. Krawczyk;R. Martin

  • On the Statistics of Spectral Amplitudes After Variance Reduction by Temporal Cepstrum Smoothing and Cepstral Nulling

    T. Gerkmann;R. Martin

Frequent Co-Authors

Peter Vary
Peter Vary RWTH Aachen University
Israel Cohen
Israel Cohen Technion – Israel Institute of Technology
Reinhold Haeb-Umbach
Reinhold Haeb-Umbach University of Paderborn
Zhanyu Ma
Zhanyu Ma Beijing University of Posts and Telecommunications
Günter Rudolph
Günter Rudolph TU Dortmund University
Bernd Bischl
Bernd Bischl Ludwig-Maximilians-Universität München
Jun Guo
Jun Guo Beijing University of Posts and Telecommunications
Jacob Benesty
Jacob Benesty Institut National de la Recherche Scientifique
Alex B. Gershman
Alex B. Gershman Technical University of Darmstadt
Sven Nordholm
Sven Nordholm Curtin University

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