Ein neuer Ansatz zur röntgennavigierten Implantation von Hüftkopfoberflächenersatz-Prothesen. - Sabine Jeromin; Maximilian Strake; Sascha Gravius; Klaus Radermacher 001; Matías de la Fuente (CURAC, 2011)

Artificial bandwidth extension using deep neural networks for spectral envelope estimation. - Johannes Abel; Maximilian Strake; Tim Fingscheidt (IWAENC, 2016)

A Simple Cepstral Domain DNN Approach to Artificial Speech Bandwidth Extension. - Johannes Abel; Maximilian Strake; Tim Fingscheidt (ICASSP, 2018)

Densenet Blstm for Acoustic Modeling in Robust ASR. - Maximilian Strake; Pascal Behr; Timo Lohrenz; Tim Fingscheidt (SLT, 2018)

On Temporal Context Information for Hybrid BLSTM-Based Phoneme Recognition. - Timo Lohrenz; Maximilian Strake; Tim Fingscheidt (ASRU, 2019)

Concatenated Identical DNN (CI-DNN) to Reduce Noise-Type Dependence in DNN-Based Speech Enhancement. - Ziyi Xu; Maximilian Strake; Tim Fingscheidt (EUSIPCO, 2019)

Separated Noise Suppression and Speech Restoration: Lstm-Based Speech Enhancement in Two Stages. - Maximilian Strake; Bruno Defraene; Kristoff Fluyt; Wouter Tirry; Tim Fingscheidt (WASPAA, 2019)

Fully Convolutional Recurrent Networks for Speech Enhancement. - Maximilian Strake; Bruno Defraene; Kristoff Fluyt; Wouter Tirry; Tim Fingscheidt (ICASSP, 2020)

INTERSPEECH 2020 Deep Noise Suppression Challenge: A Fully Convolutional Recurrent Network (FCRN) for Joint Dereverberation and Denoising. - Maximilian Strake; Bruno Defraene; Kristoff Fluyt; Wouter Tirry; Tim Fingscheidt (INTERSPEECH, 2020)

Speech enhancement by LSTM-based noise suppression followed by CNN-based speech restoration. - Maximilian Strake; Bruno Defraene; Kristoff Fluyt; Wouter Tirry; Tim Fingscheidt (EURASIP J. Adv. Signal Process., 2020)

Y2-Net FCRN for Acoustic Echo and Noise Suppression. - Ernst Seidel; Jan Franzen; Maximilian Strake; Tim Fingscheidt (Interspeech, 2021)

Deep Noise Suppression with Non-Intrusive PESQNet Supervision Enabling the Use of Real Training Data. - Ziyi Xu; Maximilian Strake; Tim Fingscheidt (Interspeech, 2021)

Y$^2$-Net FCRN for Acoustic Echo and Noise Suppression. - Ernst Seidel; Jan Franzen; Maximilian Strake; Tim Fingscheidt (CoRR, 2021)

Self-Attention With Restricted Time Context And Resolution In Dnn Speech Enhancement. - Maximilian Strake; Adrian Behlke; Tim Fingscheidt (IWAENC, 2022)

Does a PESQNet (Loss) Require a Clean Reference Input? The Original PESQ Does, But ACR Listening Tests Don't. - Ziyi Xu; Maximilian Strake; Tim Fingscheidt (IWAENC, 2022)

Deep Noise Suppression Maximizing Non-Differentiable PESQ Mediated by a Non-Intrusive PESQNet. - Ziyi Xu; Maximilian Strake; Tim Fingscheidt (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

EffCRN: An Efficient Convolutional Recurrent Network for High-Performance Speech Enhancement. - Marvin Sach; Jan Franzen; Bruno Defraene; Kristoff Fluyt; Maximilian Strake; Wouter Tirry; Tim Fingscheidt (INTERSPEECH, 2023)