Timo Gerkmann
Timo Gerkmann
Professor of Signal Processing, University of Hamburg, Germany
Geverifieerd e-mailadres voor uni-hamburg.de - Homepage
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Unbiased MMSE-based noise power estimation with low complexity and low tracking delay
T Gerkmann, RC Hendriks
IEEE Transactions on Audio, Speech, and Language Processing 20 (4), 1383-1393, 2011
4992011
Phase processing for single-channel speech enhancement: History and recent advances
T Gerkmann, M Krawczyk-Becker, J Le Roux
IEEE signal processing Magazine 32 (2), 55-66, 2015
1712015
STFT phase reconstruction in voiced speech for an improved single-channel speech enhancement
M Krawczyk, T Gerkmann
IEEE/ACM Transactions on Audio, Speech, and Language Processing 22 (12 …, 2014
1492014
DFT-domain based single-microphone noise reduction for speech enhancement: A survey of the state of the art
RC Hendriks, T Gerkmann, J Jensen
Synthesis Lectures on Speech and Audio Processing 9 (1), 1-80, 2013
1442013
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
1422008
Noise power estimation based on the probability of speech presence
T Gerkmann, RC Hendriks
2011 IEEE Workshop on Applications of Signal Processing to Audio and …, 2011
1312011
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
1052008
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
962007
Multi-channel linear prediction-based speech dereverberation with sparse priors
A Jukić, T van Waterschoot, T Gerkmann, S Doclo
IEEE/ACM Transactions on Audio, Speech, and Language Processing 23 (9), 1509 …, 2015
782015
Noise correlation matrix estimation for multi-microphone speech enhancement
RC Hendriks, T Gerkmann
IEEE Transactions on Audio, Speech, and Language Processing 20 (1), 223-233, 2011
752011
MMSE-optimal spectral amplitude estimation given the STFT-phase
T Gerkmann, M Krawczyk
IEEE Signal Processing Letters 20 (2), 129-132, 2012
722012
Combination of MVDR beamforming and single-channel spectral processing for enhancing noisy and reverberant speech
B Cauchi, I Kodrasi, R Rehr, S Gerlach, A Jukić, T Gerkmann, S Doclo, ...
EURASIP Journal on Advances in Signal Processing 2015 (1), 1-12, 2015
702015
On the statistics of spectral amplitudes after variance reduction by temporal cepstrum smoothing and cepstral nulling
T Gerkmann, R Martin
IEEE Transactions on Signal Processing 57 (11), 4165-4174, 2009
702009
A new linear MMSE filter for single channel speech enhancement based on nonnegative matrix factorization
N Mohammadiha, T Gerkmann, A Leijon
2011 IEEE workshop on applications of signal processing to audio and …, 2011
622011
Bayesian estimation of clean speech spectral coefficients given a priori knowledge of the phase
T Gerkmann
IEEE transactions on signal processing 62 (16), 4199-4208, 2014
452014
Comparing binaural pre-processing strategies II: Speech intelligibility of bilateral cochlear implant users
RM Baumgärtel, H Hu, M Krawczyk-Becker, D Marquardt, T Herzke, ...
Trends in hearing 19, 2331216515617917, 2015
432015
STFT phase improvement for single channel speech enhancement
M Krawczyk, T Gerkmann
IWAENC 2012; International Workshop on Acoustic Signal Enhancement, 1-4, 2012
392012
Joint dereverberation and noise reduction using beamforming and a single-channel speech enhancement scheme
B Cauchi, I Kodrasi, R Rehr, S Gerlach, A Jukic, T Gerkmann, S Doclo, ...
Proc. REVERB challenge workshop 1, 1-8, 2014
342014
Noise power spectral density estimation using MaxNSR blocking matrix
L Wang, T Gerkmann, S Doclo
IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP) 23 (9 …, 2015
332015
DNN and CNN with weighted and multi-task loss functions for audio event detection
H Phan, M Krawczyk-Becker, T Gerkmann, A Mertins
arXiv preprint arXiv:1708.03211, 2017
292017
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