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Martin Krawczyk-Becker
Person information
- affiliation: Hamburg University, Germany
- affiliation (PhD 2010): University of Oldenburg, Germany
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2020 – today
- 2022
- [j7]Robert-Jeron Reifert
, Martin Krawczyk-Becker, Laurin Prenzel, Svyatoslav Pavlichkov, Mohammad Al Khatib, Sandesh Athni Hiremath
Toward Resilience in Mixed Critical Industrial Control Systems: A Multi-Disciplinary View. IEEE Access 10: 124563-124581 (2022)
2010 – 2019
- 2018
- [j6]Martin Krawczyk-Becker
On Speech Enhancement Under PSD Uncertainty. IEEE ACM Trans. Audio Speech Lang. Process. 26(6): 1140-1149 (2018) - [c12]Martin Krawczyk-Becker, Timo Gerkmann
A Study on the Benefits of Phase-Aware Speech Enhancement in Challenging Noise Scenarios. LVA/ICA 2018: 407-416 - [c11]Huy Phan, Martin Krawczyk-Becker, Timo Gerkmann
Weighted and Multi-Task Loss for Rare Audio Event Detection. ICASSP 2018: 336-340 - [c10]Martin Krawczyk-Becker, Timo Gerkmann
Nonlinear Speech Enhancement Under Speech PSD Uncertainty. ICASSP 2018: 641-645 - 2017
- [i1]Huy Phan, Martin Krawczyk-Becker, Timo Gerkmann, Alfred Mertins:
DNN and CNN with Weighted and Multi-task Loss Functions for Audio Event Detection. CoRR abs/1708.03211 (2017) - 2016
- [j5]Martin Krawczyk-Becker, Timo Gerkmann
Fundamental Frequency Informed Speech Enhancement in a Flexible Statistical Framework. IEEE ACM Trans. Audio Speech Lang. Process. 24(5): 940-951 (2016) - [j4]Martin Krawczyk-Becker, Timo Gerkmann
On MMSE-Based Estimation of Amplitude and Complex Speech Spectral Coefficients Under Phase-Uncertainty. IEEE ACM Trans. Audio Speech Lang. Process. 24(12): 2251-2262 (2016) - 2015
- [j3]Timo Gerkmann
Phase Processing for Single-Channel Speech Enhancement: History and recent advances. IEEE Signal Process. Mag. 32(2): 55-66 (2015) - [c9]Martin Krawczyk-Becker, Dörte Fischer
Utilizing spectro-temporal correlations for an improved speech presence probability based noise power estimation. ICASSP 2015: 365-369 - [c8]Sidsel Marie Nørholm, Martin Krawczyk-Becker, Timo Gerkmann, Steven van de Par, Jesper Rindom Jensen, Mads Græsbøll Christensen:
Least squares estimate of the initial phases in STFT based speech enhancement. INTERSPEECH 2015: 1750-1754 - [c7]Martin Krawczyk-Becker, Timo Gerkmann
MMSE-optimal combination of wiener filtering and harmonic model based speech enhancement in a general framework. WASPAA 2015: 1-5 - 2014
- [j2]Martin Krawczyk, Timo Gerkmann
STFT phase reconstruction in voiced speech for an improved single-channel speech enhancement. IEEE ACM Trans. Audio Speech Lang. Process. 22(12): 1931-1940 (2014) - [c6]Robert Rehr, Martin Krawczyk, Timo Gerkmann
A posteriori voiced/unvoiced probability estimation based on a sinusoidal model. ICASSP 2014: 6944-6948 - 2013
- [j1]Timo Gerkmann
MMSE-Optimal Spectral Amplitude Estimation Given the STFT-Phase. IEEE Signal Process. Lett. 20(2): 129-132 (2013) - [c5]Martin Krawczyk, Robert Rehr, Timo Gerkmann:
Phase-sensitive real-time capable speech enhancement under voiced-unvoiced uncertainty. EUSIPCO 2013: 1-5 - 2012
- [c4]Martin Krawczyk, Timo Gerkmann:
STFT Phase Improvement for Single Channel Speech Enhancement. IWAENC 2012 - 2011
- [c3]Gerald Enzner
3D reconstruction of HRTF-fields from 1D continuous measurements. WASPAA 2011: 157-160 - 2010
- [c2]Timo Gerkmann
Speech presence probability estimation based on temporal cepstrum smoothing. ICASSP 2010: 4254-4257
2000 – 2009
- 2008
- [c1]Colin Breithaupt, Martin Krawczyk, Rainer Martin
Parameterized MMSE spectral magnitude estimation for the enhancement of noisy speech. ICASSP 2008: 4037-4040
Coauthor Index
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