| MUSDB18-a corpus for music separation Z Rafii, A Liutkus, FR Stöter, SI Mimilakis, R Bittner | 433 | 2017 |
| 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 | 156 | 2018 |
| MUSDB18-HQ-an uncompressed version of MUSDB18 Z Rafii, A Liutkus, FR Stöter, SI Mimilakis, R Bittner Aug, 2019 | 132 | 2019 |
| 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 | 63 | 2020 |
| SignalTrain: Profiling Audio Compressors with Deep Neural Networks SH Hawley, B Colburn, SI Mimilakis Audio Engineering Society Convention 147, 2019 | 61 | 2019 |
| 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 | 53 | 2018 |
| MUSDB18—A Corpus for Music Separation. December 2017 Z Rafii, A Liutkus, FR Stöter, SI Mimilakis, R Bittner URL https://doi. org/10.5281/zenodo 1117372, 0 | 42 | |
| 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 | 41 | 2017 |
| Deep Neural Networks for Dynamic Range Compression in Mastering Applications SI Mimilakis, K Drossos, T Virtanen, G Schuller Audio Engineering Society Convention 140, 2016 | 40 | 2016 |
| Acoustic Scene Classification by Combining Autoencoder-Based Dimensionality Reduction and Convolutional Neural Networks J Abeßer, SI Mimilakis, R Gräfe, H Lukashevich | 38 | 2017 |
| 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 | 34 | 2016 |
| 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 | 33 | 2018 |
| 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 | 27 | 2019 |
| 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 | 24 | 2021 |
| Exposure Bias and State Matching in Recurrent Neural Network Virtual Analog Models A Peussa, EP Damskägg, T Sherson, SI Mimilakis, L Juvela, ... | 21 | 2021 |
| 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 | 20* | 2019 |
| End-to-End Amp Modeling: from Data to Controllable Guitar Amplifier Models L Juvela, EP Damskägg, A Peussa, J Mäkinen, T Sherson, SI Mimilakis, ... ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 19 | 2023 |
| One-Shot Parametric Audio Production Style Transfer with Application to Frequency Equalization SI Mimilakis, NJ Bryan, P Smaragdis ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 19 | 2020 |
| 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 | 17 | 2018 |
| Automated Tonal Balance Enhancement for Audio Mastering Applications SI Mimilakis, K Drossos, A Floros, D Katerelos Audio Engineering Society Convention 134, 2013 | 17 | 2013 |
Konstantinos DrossosPrincipal Scientist, Audio Machine Learning at Nokia TechnologiesVerified email at nokia.com
