Fraunhofer Institute for Digital Media Technology IDMTStylianos Ioannis Mimilakis received a Master of Science degree in Sound & Music Computing from Pompeu Fabra University and a Bachelor of Engineering in Sound & Music Instruments Technologies from Higher Technological Education Institute of Ionian Islands. Currently he is pursuing his Ph.D. in signal processing for music source separation, under the MacSeNet project at Fraunhofer IDMT.
M.Sc. Stylianos Ioannis Mimilakis
Tabbed contents
Research Interests
- Inverse problems in audio signal processing and synthesis
- Singing voice separation
- Deep learning
Publications
| Jahr Year | Titel/Autor:in Title/Author | Publikationstyp Publication Type |
|---|---|---|
| 2021 | Informing Piano Multi-Pitch Estimation with Inferred Local Polyphony Based on Convolutional Neural Networks Taenzer, Michael; Mimilakis, Stylianos I.; Abeßer, Jakob |
Zeitschriftenaufsatz Journal Article |
| 2021 | DESED-FL and URBAN-FL: Federated Learning Datasets for Sound Event Detection Johnson, David S.; Lorenz, Wolfgang; Taenzer, Michael; Mimilakis, Stylianos Ioannis; Grollmisch, Sascha; Abeßer, Jakob; Lukashevich, Hanna |
Konferenzbeitrag Conference Paper |
| 2021 | Deep Learning-Based Music Instrument Recognition. Exploring Learned Feature Representations Taenzer, Michael; Mimilakis, Stylianos I.; Abeßer, Jakob |
Konferenzbeitrag Conference Paper |
| 2021 | DESED-FL and URBAN-FL: Federated Learning Datasets for Sound Event Detection Johnson, David S.; Lorenz, Wolfgang; Taenzer, Michael; Mimilakis, Stylianos Ioannis; Grollmisch, Sascha; Abeßer, Jakob; Lukashevich, Hanna |
Vortrag Presentation |
| 2021 | Predominant Jazz Instrument Recognition. Empirical Studies on Neural Network Architectures Abeßer, Jakob; Chauhan, Jaydeep; Pillai, Prateek Pradeep; Taenzer, Michael; Mimilakis, Stylianos I. |
Konferenzbeitrag Conference Paper |
| 2020 | One-Shot Parametric Audio Production Style Transfer with Application to Frequency Equalization Mimilakis, S.I.; Bryan, N.J.; Smaragdis, P. |
Konferenzbeitrag Conference Paper |
| 2020 | Revisiting Representation Learning for Singing Voice Separation with Sinkhorn Distances Mimilakis, Stylianos I.; Drossos, Konstantinos; Schuller, Gerald |
Paper |
| 2020 | Sound Event Detection with Depthwise Separable and Dilated Convolutions Drossos, Konstantinos; Mimilakis, Stylianos I.; Gharib, Shayan; Li, Yanxiong; Virtanen, Tuomas |
Paper |
| 2020 | Unsupervised Interpretable Representation Learning for Singing Voice Separation Mimilakis, Stylianos I.; Drossos, Konstantinos; Schuller, Gerald |
Vortrag Presentation |
| 2020 | Unsupervised interpretable representation learning for singing voice separation Mimilakis, S.I.; Drossos, K.; Schuller, G. |
Konferenzbeitrag Conference Paper |
| 2020 | Cross-Version Singing Voice Detection in Opera Recordings: Challenges for Supervised Learning Mimilakis, Stylianos Ioannis; Weiss, Christof; Arifi-Müller, Vlora; Abeßer, Jakob; Müller, Meinard |
Konferenzbeitrag Conference Paper |
| 2020 | Examining the Mapping Functions of Denoising Autoencoders in Singing Voice Separation Mimilakis, Stylianos Ioannis; Drossos, Konstantinos; Cano, Estefanía; Schuller, Gerald |
Zeitschriftenaufsatz Journal Article |
| 2020 | Depthwise Separable Convolutions Versus Recurrent Neural Networks for Monaural Singing Voice Separation Pyykkönen, P.; Mimilakis, S.I.; Drossos, K.; Virtanen, T. |
Konferenzbeitrag Conference Paper |
| 2019 | Investigating CNN-based Instrument Family Recognition for Western Classical Music Recordings Taenzer, Michael; Abeßer, Jakob; Mimilakis, Stylianos I.; Weiss, Christof; Müller, Meinard; Lukashevich, Hanna |
Konferenzbeitrag Conference Paper |
| 2019 | SignalTrain: Profiling Audio Compressors with Deep Neural Networks Hawley, Scott H.; Colburn, Benjamin; Mimilakis, Stylianos Ioannis |
Paper |
| 2018 | MaD 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. |
Konferenzbeitrag Conference Paper |
| 2018 | Harmonic-percussive source separation with deep neural networks and phase recovery Drossos, K.; Magron, P.; Mimilakis, S.I.; Virtanen, T. |
Konferenzbeitrag Conference Paper |
| 2018 | An Overview of Lead and Accompaniment Separation in Music Rafii, Z.; Liutkus, A.; Stöter, F.-R.; Mimilakis, S.I.; Fitzgerald, D.; Pardo, B. |
Zeitschriftenaufsatz Journal Article |
| 2018 | Monaural 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. |
Konferenzbeitrag Conference Paper |
| 2018 | Reducing interference with phase recovery in DNN-based monaural singing voice separation Magron, P.; Drossos, K.; Mimilakis, S.I.; Virtanen, T. |
Konferenzbeitrag Conference Paper |
| 2017 | Close miking empirical practice verification: A source separation approach Drossos, K.; Mimilakis, S.I.; Floros, A.; Virtanen, T.; Schuller, G. |
Konferenzbeitrag Conference Paper |
| 2017 | A recurrent encoder-decoder approach with skip-filtering connections for monaural singing voice separation Mimilakis, S.I.; Drossos, K.; Virtanen, T.; Schuller, G. |
Konferenzbeitrag Conference Paper |
| 2016 | Deep neural networks for dynamic range compression in mastering applications Mimilakis, S.I.; Drossos, K.; Virtanen, T.; Schuller, G. |
Konferenzbeitrag Conference Paper |
Diese Liste ist ein Auszug aus der Publikationsplattform Fraunhofer-Publica
This list has been generated from the publication platform Fraunhofer-Publica