| Wave-U-Net: A Multi-Scale Neural Network for End-to-End Audio Source Separation D Stoller, S Ewert, S Dixon IEEE International Conference on Acoustics, Speech, and Signal Processing …, 2018 | 217 | 2018 |
| Adversarial Semi-Supervised Audio Source Separation applied to Singing Voice Extraction D Stoller, S Ewert, S Dixon IEEE International Conference on Acoustics, Speech, and Signal Processing …, 2018 | 56 | 2018 |
| End-to-end Lyrics Alignment for Polyphonic Music Using An Audio-to-Character Recognition Model S Stoller, Daniel and Durand, Simon and Ewert Proceedings of the IEEE International Conference on Acoustics, Speech, and …, 2019 | 28* | 2019 |
| Ensemble Models for Spoofing Detection in Automatic Speaker Verification B Chettri, D Stoller, V Morfi, MAM Ramírez, E Benetos, BL Sturm Proceedings of Interspeech, 1018-1022, 2019 | 19 | 2019 |
| Jointly Detecting and Separating Singing Voice: A Multi-Task Approach D Stoller, S Ewert, S Dixon International Conference on Latent Variable Analysis and Signal Separation …, 2018 | 14 | 2018 |
| Analysis and classification of phonation modes in singing D Stoller, S Dixon International Conference for Music Information Retrieval (ISMIR) 17, 80-86, 2016 | 9 | 2016 |
| GAN-based Generation and Automatic Selection of Explanations for Neural Networks S Mishra, D Stoller, E Benetos, BL Sturm, S Dixon ICLR 2019 SafeML Workshop, 2019 | 4 | 2019 |
| Evolutionary Multi-objective Training Set Selection of Data Instances and Augmentations for Vocal Detection I Vatolkin, D Stoller International Conference on Computational Intelligence in Music, Sound, Art …, 2019 | 3 | 2019 |
| Seq-U-Net: A One-Dimensional Causal U-Net for Efficient Sequence Modelling D Stoller, M Tian, S Ewert, S Dixon arXiv preprint arXiv:1911.06393, 2019 | 2 | 2019 |
| A Comparative Study of Neural Models for Polyphonic Music Sequence Transduction A Ycart, D Stoller, E Benetos ISMIR, 2019 | 1 | 2019 |
| Detection of Cut-Points for Automatic Music Rearrangement D Stoller, V Akkermans, S Dixon 2018 IEEE 28th International Workshop on Machine Learning for Signal …, 2018 | 1 | 2018 |
| Training Generative Adversarial Networks from Incomplete Observations using Factorised Discriminators D Stoller, S Ewert, S Dixon International Conference on Learning Representations (ICLR), 2020 | | 2020 |
| Intuitive and efficient computer-aided music rearrangement with optimised processing of audio transitions D Stoller, I Vatolkin, H Müller Journal of New Music Research, 2018 | | 2018 |
| Impact of Frame Size and Instrumentation on Chroma-based Automatic Chord Recognition D Stoller, M Mauch, I Vatolkin, C Weihs European Conference on Data Analysis 2015 (ECDA), 411 - 421, 2015 | | 2015 |
