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 | 646 | 2011 |
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 | 262 | 2015 |
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 | 231 | 2014 |
DFT-domain based single-microphone noise reduction for speech enhancement RC Hendriks, T Gerkmann, J Jensen Springer Nature, 2022 | 195 | 2022 |
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 | 164 | 2008 |
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 | 156 | 2011 |
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 | 127 | 2008 |
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 | 125 | 2015 |
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 | 109 | 2007 |
Speech enhancement and dereverberation with diffusion-based generative models J Richter, S Welker, JM Lemercier, B Lay, T Gerkmann IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2023 | 94 | 2023 |
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, 1-12, 2015 | 90 | 2015 |
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 | 90 | 2011 |
MMSE-optimal spectral amplitude estimation given the STFT-phase T Gerkmann, M Krawczyk IEEE Signal Processing Letters 20 (2), 129-132, 2012 | 81 | 2012 |
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 | 78 | 2009 |
A multi-phase gammatone filterbank for speech separation via tasnet D Ditter, T Gerkmann ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 74 | 2020 |
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 | 70 | 2011 |
Speech Enhancement with Score-Based Generative Models in the Complex STFT Domain S Welker, J Richter, T Gerkmann Proc. Interspeech 2022, 2928 - 2932, 2022 | 68 | 2022 |
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 | 64 | 2015 |
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 | 53 | 2014 |
DNN and CNN with weighted and multi-task loss functions for audio event detection H Phan, M Krawczyk-Becker, T Gerkmann, A Mertins Detection and Classification of Audio Scenes and Events (DCASE), 2017 | 52 | 2017 |