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Rainer Martin
Rainer Martin
Professor of Information Technology and Communication Acoustics, Ruhr-Universität Bochum
Verified email at rub.de
Title
Cited by
Cited by
Year
Noise power spectral density estimation based on optimal smoothing and minimum statistics
R Martin
IEEE Transactions on speech and audio processing 9 (5), 504-512, 2001
22642001
Spectral subtraction based on minimum statistics
R Martin
power 6 (8), 1182-1185, 1994
9891994
Digital Speech Transmission and Enhancement
P Vary, R Martin
John Wiley & Sons, 2023
6392023
Speech enhancement based on minimum mean-square error estimation and supergaussian priors
R Martin
IEEE transactions on speech and audio processing 13 (5), 845-856, 2005
4412005
Speech enhancement using MMSE short time spectral estimation with gamma distributed speech priors
R Martin
2002 IEEE international conference on acoustics, speech, and signal …, 2002
3162002
An efficient algorithm to estimate the instantaneous SNR of speech signals.
R Martin
Eurospeech 93, 1093-1096, 1993
1811993
A psychoacoustic approach to combined acoustic echo cancellation and noise reduction
S Gustafsson, R Martin, P Jax, P Vary
IEEE Transactions on Speech and Audio Processing 10 (5), 245-256, 2002
1802002
A novel a priori SNR estimation approach based on selective cepstro-temporal smoothing
C Breithaupt, T Gerkmann, R Martin
2008 IEEE International Conference on Acoustics, Speech and Signal …, 2008
1632008
Combined acoustic echo control and noise reduction for hands-free telephony
S Gustafsson, R Martin, P Vary
Signal processing 64 (1), 21-32, 1998
1491998
Speech enhancement in the DFT domain using Laplacian speech priors
R Martin, C Breithaupt
Proc. IWAENC 3, 87-90, 2003
1402003
Bias compensation methods for minimum statistics noise power spectral density estimation
R Martin
Signal Processing 86 (6), 1215-1229, 2006
1302006
Robust estimation via stochastic approximation
R Martin, C Masreliez
IEEE Transactions on information Theory 21 (3), 263-271, 1975
1291975
Improved A Posteriori Speech Presence Probability Estimation Based on a Likelihood Ratio With Fixed Priors
T Gerkmann, C Breithaupt, R Martin
IEEE transactions on audio, speech, and language processing 16 (5), 910-919, 2008
1252008
Spoofing detection in automatic speaker verification systems using DNN classifiers and dynamic acoustic features
H Yu, ZH Tan, Z Ma, R Martin, J Guo
IEEE transactions on neural networks and learning systems 29 (10), 4633-4644, 2017
1132017
Cepstral smoothing of spectral filter gains for speech enhancement without musical noise
C Breithaupt, T Gerkmann, R Martin
IEEE Signal processing letters 14 (12), 1036-1039, 2007
1082007
Advances in digital speech transmission
R Martin, U Heute, C Antweiler
John Wiley & Sons, 2008
1072008
Phase estimation for signal reconstruction in single-channel speech separation
P Mowlaee, R Saiedi, R Martin
Proceedings of the International Conference on Spoken Language Processing, 1-4, 2012
962012
Statistical methods for the enhancement of noisy speech
J Benesty, S Makino, J Chen, R Martin
Speech Enhancement, 43-65, 2005
952005
An evaluation of noise power spectral density estimation algorithms in adverse acoustic environments
J Taghia, J Taghia, N Mohammadiha, J Sang, V Bouse, R Martin
2011 IEEE International Conference on Acoustics, Speech and Signal …, 2011
862011
Parameterized MMSE spectral magnitude estimation for the enhancement of noisy speech
C Breithaupt, M Krawczyk, R Martin
2008 IEEE International Conference on Acoustics, Speech and Signal …, 2008
862008
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