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
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