Stylianos Ioannis Mimilakis
Stylianos Ioannis Mimilakis
Early Stage Researcher
Email verificata su idmt.fraunhofer.de - Home page
TitoloCitata daAnno
MUSDB18-a corpus for music separation
Z Rafii, A Liutkus, FR Stöter, SI Mimilakis, R Bittner
302017
Monaural singing voice separation with skip-filtering connections and recurrent inference of time-frequency mask
SI Mimilakis, K Drossos, JF Santos, G Schuller, T Virtanen, Y Bengio
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
222018
New sonorities for jazz recordings: Separation and mixing using deep neural networks
SI Mimilakis, E Cano, J Abeßer, G Schuller
Audio Engineering Society 2nd Workshop on Intelligent Music Production, 2016
222016
An Overview of Lead and Accompaniment Separation in Music
Z Rafii, A Liutkus, FR Stöter, SI Mimilakis, D Fitzgerald, B Pardo
IEEE/ACM Transactions on Audio, Speech and Language Processing, 2018
182018
A recurrent encoder-decoder approach with skip-filtering connections for monaural singing voice separation
SI Mimilakis, K Drossos, T Virtanen, G Schuller
2017 IEEE 27th International Workshop on Machine Learning for Signal …, 2017
182017
Deep Neural Networks for Dynamic Range Compression in Mastering Applications
SI Mimilakis, K Drossos, T Virtanen, G Schuller
Audio Engineering Society Convention 140, 2016
172016
Automated Tonal Balance Enhancement for Audio Mastering Applications
SI Mimilakis, K Drossos, A Floros, D Katerelos
Audio Engineering Society Convention 134, 2013
112013
Stereo goes mobile: Spatial enhancement for short-distance loudspeaker setups
K Drossos, SI Mimilakis, A Floros, NG Kanellopoulos
2012 Eighth International Conference on Intelligent Information Hiding and …, 2012
112012
MaD TwinNet: Masker-denoiser architecture with twin networks for monaural sound source separation
K Drossos, SI Mimilakis, D Serdyuk, G Schuller, T Virtanen, Y Bengio
2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018
102018
Acoustic Scene Classification by Combining Autoencoder-Based Dimensionality Reduction and Convolutional Neural Networks
J Abeßer, SI Mimilakis, R Gräfe, H Lukashevich, I Fraunhofer
62017
Harmonic-Percussive Source Separation with Deep Neural Networks and Phase Recovery
K Drossos, P Magron, SI Mimilakis, T Virtanen
2018 16th International Workshop on Acoustic Signal Enhancement (IWAENC …, 2018
52018
Examining the Perceptual Effect of Alternative Objective Functions for Deep Learning Based Music Source Separation
SI Mimilakis, E Cano, D FitzGerald, K Drossos, G Schuller
2018 52nd Asilomar Conference on Signals, Systems, and Computers, 679-683, 2018
22018
Reducing Interference with Phase Recovery in DNN-based Monaural Singing Voice Separation
P Magron, K Drossos, S Mimilakis, T Virtanen
22018
SignalTrain: Profiling Audio Compressors with Deep Neural Networks
SH Hawley, B Colburn, SI Mimilakis
arXiv preprint arXiv:1905.11928, 2019
12019
Close Miking Empirical Practice Verification: A Source Separation Approach
K Drossos, SI Mimilakis, A Floros, T Virtanen, G Schuller
Audio Engineering Society Convention 142, 2017
12017
Automatic Best Take Detection for Electric Guitar and Vocal Studio Recordings
C Bönsel, J Abeßer, S Grollmisch, SI Mimilakis
Proceedings of the 2nd AES Workshop on Intelligent Music Production 13, 2016
12016
Examining the Mapping Functions of Denoising Autoencoders in Singing Voice Separation
SI Mimilakis, K Drosos, E Cano, G Schuller
IEEE/ACM Transactions on Audio, Speech, and Language Processing, pre-print …, 2019
2019
Investigating CNN-based Instrument Family Recognition for Western Classical Music Recordings
M Taenzer, J Abeßer, SI Mimilakis, C Weiß, M Müller, H Lukashevich, ...
2019
Profiling Audio Compressors with Deep Neural Networks
S Hawley, B Colburn, SI Mimilakis
Audio Engineering Society Convention 147, 2019
2019
Urban Noise Monitoring in the Stadtlärm Project-A Field Report
J Abeßer, M Götze, T Clauß, D Zapf, C Kühn, H Lukashevich, S Kühnlenz, ...
2019
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–20