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Maximilian Strake
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Year
Fully convolutional recurrent networks for speech enhancement
M Strake, B Defraene, K Fluyt, W Tirry, T Fingscheidt
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and†…, 2020
282020
Artificial bandwidth extension using deep neural networks for spectral envelope estimation
J Abel, M Strake, T Fingscheidt
2016 IEEE International Workshop on Acoustic Signal Enhancement (IWAENC), 1-5, 2016
252016
A simple cepstral domain DNN approach to artificial speech bandwidth extension
J Abel, M Strake, T Fingscheidt
2018 IEEE International Conference on Acoustics, Speech and Signal†…, 2018
222018
Separated noise suppression and speech restoration: LSTM-based speech enhancement in two stages
M Strake, B Defraene, K Fluyt, W Tirry, T Fingscheidt
2019 IEEE Workshop on Applications of Signal Processing to Audio and†…, 2019
212019
Speech enhancement by LSTM-based noise suppression followed by CNN-based speech restoration
M Strake, B Defraene, K Fluyt, W Tirry, T Fingscheidt
EURASIP Journal on Advances in Signal Processing 2020 (1), 1-26, 2020
122020
INTERSPEECH 2020 Deep Noise Suppression Challenge: A Fully Convolutional Recurrent Network (FCRN) for Joint Dereverberation and Denoising.
M Strake, B Defraene, K Fluyt, W Tirry, T Fingscheidt
INTERSPEECH, 2467-2471, 2020
112020
Deep noise suppression with non-intrusive pesqnet supervision enabling the use of real training data
Z Xu, M Strake, T Fingscheidt
arXiv preprint arXiv:2103.17088, 2021
92021
Y-Net FCRN for Acoustic Echo and Noise Suppression
E Seidel, J Franzen, M Strake, T Fingscheidt
arXiv preprint arXiv:2103.17189, 2021
72021
Concatenated identical DNN (CI-DNN) to reduce noise-type dependence in DNN-based speech enhancement
Z Xu, M Strake, T Fingscheidt
2019 27th European Signal Processing Conference (EUSIPCO), 1-5, 2019
62019
On Temporal Context Information for Hybrid BLSTM-Based Phoneme Recognition
T Lohrenz, M Strake, T Fingscheidt
2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU†…, 2019
42019
DenseNet BLSTM for acoustic modeling in robust ASR
M Strake, P Behr, T Lohrenz, T Fingscheidt
2018 IEEE Spoken Language Technology Workshop (SLT), 6-12, 2018
42018
Deep Noise Suppression Maximizing Non-Differentiable PESQ Mediated by a Non-Intrusive PESQNet
Z Xu, M Strake, T Fingscheidt
IEEE/ACM Transactions on Audio, Speech, and Language Processing 30, 1572-1585, 2022
32022
Self-Attention With Restricted Time Context And Resolution In Dnn Speech Enhancement
M Strake, A Behlke, T Fingscheidt
2022 International Workshop on Acoustic Signal Enhancement (IWAENC), 1-5, 2022
2022
Does a PESQNet (Loss) Require a Clean Reference Input? The Original PESQ Does, But ACR Listening Tests Don't
Z Xu, M Strake, T Fingscheidt
arXiv preprint arXiv:2205.02085, 2022
2022
Easy Adaptation of Speech Recognition to Different Air Traffic Control Environments using the DeepSpeech Engine
M Kleinert, N Venkatarathinam, H Helmke, O Ohneiser, M Strake, ...
2021
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