M.Sc. Stylianos Ioannis Mimilakis

Stylianos 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.

  • Inverse problems in audio signal processing and synthesis
  • Singing voice separation
  • Deep learning

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 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
2021 Deep Learning-Based Music Instrument Recognition. Exploring Learned Feature Representations
Taenzer, Michael; Mimilakis, Stylianos I.; Abeßer, Jakob
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 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 Unsupervised interpretable representation learning for singing voice separation
Mimilakis, S.I.; Drossos, K.; Schuller, G.
Konferenzbeitrag
Conference Paper
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
2020 Examining the Mapping Functions of Denoising Autoencoders in Singing Voice Separation
Mimilakis, Stylianos Ioannis; Drossos, Konstantinos; Cano, Estefanía; Schuller, Gerald
Zeitschriftenaufsatz
Journal Article
2019 SignalTrain: Profiling Audio Compressors with Deep Neural Networks
Hawley, Scott H.; Colburn, Benjamin; Mimilakis, Stylianos Ioannis
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
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 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
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 Harmonic-percussive source separation with deep neural networks and phase recovery
Drossos, K.; Magron, P.; Mimilakis, S.I.; Virtanen, T.
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
2017 Close miking empirical practice verification: A source separation approach
Drossos, K.; Mimilakis, S.I.; Floros, A.; 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
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