D. Stoller

发表

A Deep Learning Approach to Intelligent Drum Mixing With the Wave-U-Net

M. M. Ramírez, D. Moffat, D. Stoller, 2021, Journal of the Audio Engineering Society.

GAN-based Generation and Automatic Selection of Explanations for Neural Networks

Bob L. Sturm, Saumitra Mishra, S. Dixon, 2019, International Conference on Learning Representations.

Impact of Frame Size and Instrumentation on Chroma-Based Automatic Chord Recognition

Igor Vatolkin, Claus Weihs, Matthias Mauch, 2013, ECDA.

Intuitive and efficient computer-aided music rearrangement with optimised processing of audio transitions

Igor Vatolkin, Heinrich Müller, Daniel Stoller, 2018, Journal of New Music Research.

Detection of Cut-Points for Automatic Music Rearrangement

Simon Dixon, Daniel Stoller, Vincent Akkermans, 2018, 2018 IEEE 28th International Workshop on Machine Learning for Signal Processing (MLSP).

Deep learning for music information retrieval in limited data scenarios

D. Stoller, Daniel Stoller, 2020 .

Wave-U-Net: A Multi-Scale Neural Network for End-to-End Audio Source Separation pdf

Simon Dixon, Sebastian Ewert, Daniel Stoller, 2018, ISMIR.

Seq-U-Net: A One-Dimensional Causal U-Net for Efficient Sequence Modelling pdf

Sebastian Ewert, Mi Tian, Daniel Stoller, 2019, IJCAI.

Ensemble Models for Spoofing Detection in Automatic Speaker Verification pdf

Bob L. Sturm, Emmanouil Benetos, Marco A. Martínez Ramírez, 2019, INTERSPEECH.

Adversarial Semi-Supervised Audio Source Separation Applied to Singing Voice Extraction

Simon Dixon, Sebastian Ewert, Daniel Stoller, 2017, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

End-to-end Lyrics Alignment for Polyphonic Music Using an Audio-to-character Recognition Model

Sebastian Ewert, Daniel Stoller, Simon Durand, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Few-Shot Musical Source Separation

Rachel M. Bittner, J. Bello, D. Stoller, 2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A Comparative Study of Neural Models for Polyphonic Music Sequence Transduction

Adrien Ycart, Emmanouil Benetos, Daniel Stoller, 2019, ISMIR.

Jointly Detecting and Separating Singing Voice: A Multi-Task Approach

Simon Dixon, Sebastian Ewert, Daniel Stoller, 2018, LVA/ICA.

Contrastive Learning-Based Audio to Lyrics Alignment for Multiple Languages

D. Stoller, Simon Durand, Sebastian Ewert, 2023, ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).