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ORCIDMaximilian Strake
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2020 – today
- 2023
[c14]Marvin Sach, Jan Franzen, Bruno Defraene, Kristoff Fluyt, Maximilian Strake, Wouter Tirry, Tim Fingscheidt:
EffCRN: An Efficient Convolutional Recurrent Network for High-Performance Speech Enhancement. INTERSPEECH 2023: 2508-2512- 2022
- [j2]Ziyi Xu
, Maximilian Strake, Tim Fingscheidt:
Deep Noise Suppression Maximizing Non-Differentiable PESQ Mediated by a Non-Intrusive PESQNet. IEEE ACM Trans. Audio Speech Lang. Process. 30: 1572-1585 (2022) - [c13]Maximilian Strake, Adrian Behlke, Tim Fingscheidt:
Self-Attention With Restricted Time Context And Resolution In Dnn Speech Enhancement. IWAENC 2022: 1-5 - [c12]Ziyi Xu, Maximilian Strake, Tim Fingscheidt:
Does a PESQNet (Loss) Require a Clean Reference Input? The Original PESQ Does, But ACR Listening Tests Don't. IWAENC 2022: 1-5 - [i3]Ziyi Xu, Maximilian Strake, Tim Fingscheidt:
Does a PESQNet (Loss) Require a Clean Reference Input? The Original PESQ Does, But ACR Listening Tests Don't. CoRR abs/2205.02085 (2022) - 2021
- [c11]Ziyi Xu, Maximilian Strake, Tim Fingscheidt:
Deep Noise Suppression with Non-Intrusive PESQNet Supervision Enabling the Use of Real Training Data. Interspeech 2021: 2806-2810 - [c10]Ernst Seidel, Jan Franzen, Maximilian Strake, Tim Fingscheidt:
Y2-Net FCRN for Acoustic Echo and Noise Suppression. Interspeech 2021: 4763-4767 - [i2]Ernst Seidel, Jan Franzen, Maximilian Strake, Tim Fingscheidt:
Y$^2$-Net FCRN for Acoustic Echo and Noise Suppression. CoRR abs/2103.17189 (2021) - [i1]Ziyi Xu, Maximilian Strake, Tim Fingscheidt:
Deep Noise Suppression Maximizing Non-Differentiable PESQ Mediated by a Non-Intrusive PESQNet. CoRR abs/2111.03847 (2021) - 2020
- [j1]Maximilian Strake, Bruno Defraene, Kristoff Fluyt, Wouter Tirry, Tim Fingscheidt:
Speech enhancement by LSTM-based noise suppression followed by CNN-based speech restoration. EURASIP J. Adv. Signal Process. 2020(1): 49 (2020) - [c9]Maximilian Strake, Bruno Defraene, Kristoff Fluyt, Wouter Tirry, Tim Fingscheidt:
Fully Convolutional Recurrent Networks for Speech Enhancement. ICASSP 2020: 6674-6678 - [c8]Maximilian Strake, Bruno Defraene, Kristoff Fluyt, Wouter Tirry, Tim Fingscheidt:
INTERSPEECH 2020 Deep Noise Suppression Challenge: A Fully Convolutional Recurrent Network (FCRN) for Joint Dereverberation and Denoising. INTERSPEECH 2020: 2467-2471
2010 – 2019
- 2019
- [c7]Timo Lohrenz, Maximilian Strake, Tim Fingscheidt:
On Temporal Context Information for Hybrid BLSTM-Based Phoneme Recognition. ASRU 2019: 516-523 - [c6]Ziyi Xu, Maximilian Strake, Tim Fingscheidt:
Concatenated Identical DNN (CI-DNN) to Reduce Noise-Type Dependence in DNN-Based Speech Enhancement. EUSIPCO 2019: 1-5 - [c5]Maximilian Strake, Bruno Defraene, Kristoff Fluyt, Wouter Tirry, Tim Fingscheidt:
Separated Noise Suppression and Speech Restoration: Lstm-Based Speech Enhancement in Two Stages. WASPAA 2019: 239-243 - 2018
- [c4]Johannes Abel, Maximilian Strake, Tim Fingscheidt:
A Simple Cepstral Domain DNN Approach to Artificial Speech Bandwidth Extension. ICASSP 2018: 5469-5473 - [c3]Maximilian Strake, Pascal Behr, Timo Lohrenz, Tim Fingscheidt:
Densenet Blstm for Acoustic Modeling in Robust ASR. SLT 2018: 6-12 - 2016
- [c2]Johannes Abel, Maximilian Strake, Tim Fingscheidt:
Artificial bandwidth extension using deep neural networks for spectral envelope estimation. IWAENC 2016: 1-5 - 2011
- [c1]Sabine Jeromin, Maximilian Strake, Sascha Gravius, Klaus Radermacher, Matías de la Fuente:
Ein neuer Ansatz zur röntgennavigierten Implantation von Hüftkopfoberflächenersatz-Prothesen. CURAC 2011: 125-128
Coauthor Index
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