| MUSDB18-a corpus for music separation Z Rafii, A Liutkus, FR Stöter, SI Mimilakis, R Bittner | 200 | 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 | 92 | 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 | 47 | 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 | 36 | 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 | 32 | 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 | 32 | 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 | 32 | 2016 |
| SignalTrain: Profiling Audio Compressors with Deep Neural Networks SH Hawley, B Colburn, SI Mimilakis Audio Engineering Society Convention 147, 2019 | 31 | 2019 |
| Acoustic Scene Classification by Combining Autoencoder-Based Dimensionality Reduction and Convolutional Neural Networks J Abeßer, SI Mimilakis, R Gräfe, H Lukashevich | 29 | 2017 |
| 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 | 28 | 2018 |
| MUSDB18-HQ-an uncompressed version of MUSDB18 Z Rafii, A Liutkus, FR Stöter, SI Mimilakis, R Bittner Aug, 2019 | 27 | 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 | 15 | 2019 |
| Automated Tonal Balance Enhancement for Audio Mastering Applications SI Mimilakis, K Drossos, A Floros, D Katerelos Audio Engineering Society Convention 134, 2013 | 15 | 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 | 14* | 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 | 13 | 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 | 12 | 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 | 10 | 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 | 10 | 2019 |
| Reducing interference with phase recovery in DNN-based monaural singing voice separation P Magron, K Drossos, S Mimilakis, T Virtanen Interspeech, 2018 | 10 | 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 | 9 | 2021 |
Konstantinos DrossosPrincipal Scientist, Machine Learning at NokiaVerified email at nokia.com
