Stylianos Ioannis Mimilakis
Stylianos Ioannis Mimilakis
Audio & Machine Learning Researcher, NeuralDSP Technologies
Verified email at
Cited by
Cited by
MUSDB18-a corpus for music separation
Z Rafii, A Liutkus, FR Stöter, SI Mimilakis, R Bittner
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
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
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
Sound event detection with depthwise separable and dilated convolutions
K Drossos, SI Mimilakis, S Gharib, Y Li, T Virtanen
2020 International Joint Conference on Neural Networks (IJCNN), 1-7, 2020
New sonorities for jazz recordings: Separation and mixing using deep neural networks
SI Mimilakis, E Cano, J Abeßer, G Schuller
2nd AES Workshop on Intelligent Music Production 13, 2016
Deep Neural Networks for Dynamic Range Compression in Mastering Applications
SI Mimilakis, K Drossos, T Virtanen, G Schuller
Audio Engineering Society Convention 140, 2016
SignalTrain: Profiling Audio Compressors with Deep Neural Networks
SH Hawley, B Colburn, SI Mimilakis
Audio Engineering Society Convention 147, 2019
Acoustic Scene Classification by Combining Autoencoder-Based Dimensionality Reduction and Convolutional Neural Networks
J Abeßer, SI Mimilakis, R Gräfe, H Lukashevich
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
MUSDB18-HQ-an uncompressed version of MUSDB18
Z Rafii, A Liutkus, FR Stöter, SI Mimilakis, R Bittner
Aug, 2019
Investigating CNN-based Instrument Family Recognition for Western Classical Music Recordings
M Taenzer, J Abeßer, SI Mimilakis, C Weiß, M Müller, H Lukashevich, ...
20th International Society for Music Information Retrieval Conference (ISMIR), 2019
Automated Tonal Balance Enhancement for Audio Mastering Applications
SI Mimilakis, K Drossos, A Floros, D Katerelos
Audio Engineering Society Convention 134, 2013
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
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
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
Desed-fl and urban-fl: Federated learning datasets for sound event detection
DS Johnson, W Lorenz, M Taenzer, S Mimilakis, S Grollmisch, J Abeßer, ...
2021 29th European Signal Processing Conference (EUSIPCO), 556-560, 2021
Urban Noise Monitoring in the Stadtlärm Project-A Field Report
J Abeßer, M Götze, T Clauß, D Zapf, C Kühn, H Lukashevich, S Kühnlenz, ...
Workshop on the Detection and Classification of Acoustic Scenes and Events …, 2019
Reducing interference with phase recovery in DNN-based monaural singing voice separation
P Magron, K Drossos, S Mimilakis, T Virtanen
Interspeech, 2018
Informing Piano Multi-Pitch Estimation with Inferred Local Polyphony Based on Convolutional Neural Networks
M Taenzer, SI Mimilakis, J Abeßer
Electronics 10 (7), 851, 2021
The system can't perform the operation now. Try again later.
Articles 1–20