Fraunhofer-Gesellschaft

Publica

Hier finden Sie wissenschaftliche Publikationen aus den Fraunhofer-Instituten.
2021Creaming layers of nanocellulose stabilized water-based polystyrene
Gestranius, Marie; Kontturi, Katri S.; Mikkelson, Atte; Virtanen, Tommi; Schirp, Claudia; Cranston, Emily D.; Kontturi, Eero; Tammelin, Tekla
Journal Article
2020Depthwise Separable Convolutions Versus Recurrent Neural Networks for Monaural Singing Voice Separation
Pyykkönen, P.; Mimilakis, S.I.; Drossos, K.; Virtanen, T.
Conference Paper
2020Sound Event Detection with Depthwise Separable and Dilated Convolutions
Drossos, Konstantinos; Mimilakis, Stylianos I.; Gharib, Shayan; Li, Yanxiong; Virtanen, Tuomas
Preprint
2018Harmonic-percussive source separation with deep neural networks and phase recovery
Drossos, K.; Magron, P.; Mimilakis, S.I.; Virtanen, T.
Conference Paper
2018MaD TwinNet: Masker-Denoiser Architecture with Twin Networks for Monaural Sound Source Separation
Drossos, K.; Mimilakis, S.I.; Serdyuk, D.; Schuller, G.; Virtanen, T.; Bengio, Y.
Conference Paper
2018Monaural Singing Voice Separation with Skip-Filtering Connections and Recurrent Inference of Time-Frequency Mask
Mimilakis, S.I.; Drossos, K.; Santos, J.F.; Schuller, G.; Virtanen, T.; Bengio, Y.
Conference Paper
2018Reducing interference with phase recovery in DNN-based monaural singing voice separation
Magron, P.; Drossos, K.; Mimilakis, S.I.; Virtanen, T.
Conference Paper
2017Close miking empirical practice verification: A source separation approach
Drossos, K.; Mimilakis, S.I.; Floros, A.; Virtanen, T.; Schuller, G.
Conference Paper
2017A recurrent encoder-decoder approach with skip-filtering connections for monaural singing voice separation
Mimilakis, S.I.; Drossos, K.; Virtanen, T.; Schuller, G.
Conference Paper
2016Deep neural networks for dynamic range compression in mastering applications
Mimilakis, S.I.; Drossos, K.; Virtanen, T.; Schuller, G.
Conference Paper