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

Fraunhofer IDMT: publication list
YearTitle/AuthorDocument Type
2020Cross-Version Singing Voice Detection in Opera Recordings: Challenges for Supervised Learning
Mimilakis, Stylianos Ioannis; Weiss, Christof; Arifi-Müller, Vlora; Abeßer, Jakob; Müller, Meinard
Conference Paper
2020Examining the Mapping Functions of Denoising Autoencoders in Singing Voice Separation
Mimilakis, Stylianos Ioannis; Drossos, Konstantinos; Cano, Estefanía; Schuller, Gerald
Journal Article
2020One-Shot Parametric Audio Production Style Transfer with Application to Frequency Equalization
Mimilakis, S.I.; Bryan, N.J.; Smaragdis, P.
Conference Paper
2020Revisiting Representation Learning for Singing Voice Separation with Sinkhorn Distances
Mimilakis, Stylianos I.; Drossos, Konstantinos; Schuller, Gerald
Report
2020Sound Event Detection with Depthwise Separable and Dilated Convolutions
Drossos, Konstantinos; Mimilakis, Stylianos I.; Gharib, Shayan; Li, Yanxiong; Virtanen, Tuomas
Report
2020Unsupervised Interpretable Representation Learning for Singing Voice Separation
Mimilakis, Stylianos I.; Drossos, Konstantinos; Schuller, Gerald
Report
2019Investigating CNN-based Instrument Family Recognition for Western Classical Music Recordings
Taenzer, Michael; Abeßer, Jakob; Mimilakis, Stylianos I.; Weiss, Christof; Müller, Meinard; Lukashevich, Hanna
Conference Paper
2019SignalTrain: Profiling Audio Compressors with Deep Neural Networks
Hawley, Scott H.; Colburn, Benjamin; Mimilakis, Stylianos Ioannis
Report
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
2018An Overview of Lead and Accompaniment Separation in Music
Rafii, Z.; Liutkus, A.; Stöter, F.-R.; Mimilakis, S.I.; Fitzgerald, D.; Pardo, B.
Journal Article
2018Reducing interference with phase recovery in DNN-based monaural singing voice separation
Magron, P.; Drossos, K.; Mimilakis, S.I.; Virtanen, T.
Conference Paper
2017Acoustic scene classification by combining autoencoder-based dimensionality reduction and convolutional neural networks
Abeßer, Jakob; Mimilakis, Stylianos-Ioannis; Gräfe, Robert; Lukashevich, Hanna
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
2016Automatic best take detection for electric guitar and vocal studio recordings
Bönsel, Carsten; Abeßer, Jakob; Grollmisch, Sascha; Mimilakis, Stylianos-Ioannis
Conference Paper
2016Deep neural networks for dynamic range compression in mastering applications
Mimilakis, S.I.; Drossos, K.; Virtanen, T.; Schuller, G.
Conference Paper
2016New sonorities for jazz recordings: Separation and mixing using deep neural networks
Mimilakis, Stylianos-Ioannis; Cano, Estefanía; Abeßer, Jakob; Schuller, Gerald
Conference Paper