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Daniel Stoller
Daniel Stoller
Spotify
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Title
Cited by
Cited by
Year
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
7412018
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
110*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
962019
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
852018
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
312019
Jointly detecting and separating singing voice: A multi-task approach
D Stoller, S Ewert, S Dixon
Latent Variable Analysis and Signal Separation: 14th International …, 2018
272018
A deep learning approach to intelligent drum mixing with the wave-u-net
M Martinez Ramirez, D Stoller, D Moffat
Audio Engineering Society, 2021
202021
Analysis and classification of phonation modes in singing
D Stoller, S Dixon
International Conference for Music Information Retrieval (ISMIR) 17, 80-86, 2016
192016
Few-shot musical source separation
Y Wang, D Stoller, RM Bittner, JP Bello
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
122022
A comparative study of neural models for polyphonic music sequence transduction
A Ycart, D Stoller, E Benetos
102019
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
102019
Contrastive Learning-Based Audio to Lyrics Alignment for Multiple Languages
S Durand, D Stoller, S Ewert
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
72023
Evolutionary multi-objective training set selection of data instances and augmentations for vocal detection
I Vatolkin, D Stoller
Computational Intelligence in Music, Sound, Art and Design: 8th …, 2019
42019
Deep Learning for Music Information Retrieval in Limited Data Scenarios.
D Stoller
Queen Mary University of London, 2020
32020
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
32018
Training Generative Adversarial Networks from Incomplete Observations using Factorised Discriminators
D Stoller, S Ewert, S Dixon
International Conference on Learning Representations (ICLR), 2020
22020
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
22018
Systems and methods for aligning lyrics using a neural network
D Stoller, SRG Durand, S Ewert
US Patent 11,475,887, 2022
2022
Systems and methods for aligning lyrics using a neural network
D Stoller, SRG Durand, S Ewert
US Patent 11,308,943, 2022
2022
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
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