List of publications
Theses
Journal articles
- Intuitive and Efficient Computer-Aided Music Rearrangement with Optimised Processing of Audio Transitions ()Details
Stoller, Daniel and Vatolkin, Igor and Müller, Heinrich
Conference papers
- Ensemble Models for Spoofing Detection in Automatic Speaker Verification ()Details
Proceedings of INTERSPEECH
Chettri, Bhusan and Stoller, Daniel and Morfi, Veronica and Ramírez, Marco A. Martínez and Benetos, Emmanouil and Sturm, Bob L. - GAN-Based Generation and Automatic Selection of Explanations for Neural Networks ()Details
Safe Machine Learning Workshop at the International Conference on Learning Representations (ICLR)
Mishra, Saumitra and Stoller, Daniel and Benetos, Emmanouil and Sturm, Bob L. and Dixon, Simon - Adversarial Semi-Supervised Audio Source Separation Applied to Singing Voice Extraction ()Details
Proc. of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Stoller, Daniel and Ewert, Sebastian and Dixon, Simon - Analysis and Classification of Phonation Modes in Singing ()Details
Proc. of the International Society for Music Information Retrieval Conference (ISMIR)
Stoller, Daniel and Dixon, Simon - Detection of Cut-Points for Automatic Music Rearrangement ()Details
2018 IEEE 28th International Workshop on Machine Learning for Signal Processing (MLSP)
Stoller, D. and Akkermans, V. and Dixon, S. - End-to-End Lyrics Alignment for Polyphonic Music Using An Audio-to-Character Recognition Model ()Details
Proc. of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Stoller, Daniel and Durand, Simon and Ewert, Sebastian - Impact of Frame Size and Instrumentation on Chroma-Based Automatic Chord Recognition ()Details
Data Science, Learning by Latent Structures, and Knowledge Discovery
Stoller, Daniel and Mauch, Matthias and Vatolkin, Igor and Weihs, Claus - Jointly Detecting and Separating Singing Voice: A Multi-Task Approach ()Details
Latent Variable Analysis and Signal Separation
Stoller, Daniel and Ewert, Sebastian and Dixon, Simon - Seq-U-Net: A One-Dimensional Causal U-Net for Efficient Sequence Modelling ()Details
Proc. of the International Joint Conference on Artificial Intelligence - Pacific Rim International Conference on Artificial Intelligence (IJCAI-PRICAI)
Stoller, Daniel and Tian, Mi and Ewert, Sebastian and Dixon, Simon - Training Generative Adversarial Networks from Incomplete Observations Using Factorised Discriminators ()Details
Proc. of the International Conference on Learning Representations (ICLR)
Stoller, Daniel and Ewert, Sebastian and Dixon, Simon - Wave-U-Net: A Multi-Scale Neural Network for End-to-End Source Separation ()Details
Proc. of the International Society for Music Information Retrieval Conference (ISMIR)
Stoller, Daniel and Ewert, Sebastian and Dixon, Simon - Evolutionary Multi-Objective Training Set Selection of Data Instances and Augmentations for Vocal Detection ()Details
8th International Conference on Computational Intelligence in Music, Sound, Art and Design (EvoMUSART)
Vatolkin, Igor and Stoller, Daniel - A Comparative Study of Neural Models for Polyphonic Music Sequence Transduction ()Details
Proc. of the International Society for Music Information Retrieval Conference (ISMIR)
Ycart, Adrien and Stoller, Daniel and Benetos, Emmanouil