Daniel Stoller

28 papers A* 3A 1C 1Misc 4Journal 11Unranked 7
YearRankTypeTitle / Venue / Authors
2025 — conf
Efficient Representation Learning for Music Via Likelihood Factorisation of a Variational Autoencoder.
MLSP
Ningzhi Wang, Daniel Stoller, Simon Dixon
2024 A* conf
LLark: A Multimodal Instruction-Following Language Model for Music.
ICML
Joshua Patrick Gardner, Simon Durand, Daniel Stoller, Rachel M. Bittner
2023 Misc conf
Contrastive Learning-Based Audio to Lyrics Alignment for Multiple Languages.
ICASSP
Simon Durand, Daniel Stoller, Sebastian Ewert
2023 J jnl
Contrastive Learning-Based Audio to Lyrics Alignment for Multiple Languages.
CoRR
Simon Durand, Daniel Stoller, Sebastian Ewert
2023 J jnl
LLark: A Multimodal Foundation Model for Music.
CoRR
Josh Gardner, Simon Durand, Daniel Stoller, Rachel M. Bittner
2022 Misc conf
Few-Shot Musical Source Separation.
ICASSP
Yu Wang, Daniel Stoller, Rachel M. Bittner, Juan Pablo Bello
2022 J jnl
Few-Shot Musical Source Separation.
CoRR
Yu Wang, Daniel Stoller, Rachel M. Bittner, Juan Pablo Bello
2020 — —
Deep learning for music information retrieval in limited data scenarios.
Daniel Stoller
2020 A* conf
Seq-U-Net: A One-Dimensional Causal U-Net for Efficient Sequence Modelling.
IJCAI
Daniel Stoller, Mi Tian, Sebastian Ewert, Simon Dixon
2020 A* conf
Training Generative Adversarial Networks from Incomplete Observations using Factorised Discriminators.
ICLR
Daniel Stoller, Sebastian Ewert, Simon Dixon
2019 — conf
A Comparative Study of Neural Models for Polyphonic Music Sequence Transduction.
ISMIR
Adrien Ycart, Daniel Stoller, Emmanouil Benetos
2019 J jnl
End-to-end Lyrics Alignment for Polyphonic Music Using an Audio-to-Character Recognition Model.
CoRR
Daniel Stoller, Simon Durand, Sebastian Ewert
2019 Misc conf
End-to-end Lyrics Alignment for Polyphonic Music Using an Audio-to-character Recognition Model.
ICASSP
Daniel Stoller, Simon Durand, Sebastian Ewert
2019 A conf
Ensemble Models for Spoofing Detection in Automatic Speaker Verification.
INTERSPEECH
Bhusan Chettri, Daniel Stoller, Veronica Morfi, Marco A. Martínez Ramírez, Emmanouil Benetos, Bob L. T. Sturm
2019 J jnl
Ensemble Models for Spoofing Detection in Automatic Speaker Verification.
CoRR
Bhusan Chettri, Daniel Stoller, Veronica Morfi, Marco A. Martínez Ramírez, Emmanouil Benetos, Bob L. T. Sturm
2019 C conf
Evolutionary Multi-objective Training Set Selection of Data Instances and Augmentations for Vocal Detection.
EvoMUSART
Igor Vatolkin, Daniel Stoller
2019 J jnl
GAN-based Generation and Automatic Selection of Explanations for Neural Networks.
CoRR
Saumitra Mishra, Daniel Stoller, Emmanouil Benetos, Bob L. T. Sturm, Simon Dixon
2019 J jnl
Seq-U-Net: A One-Dimensional Causal U-Net for Efficient Sequence Modelling.
CoRR
Daniel Stoller, Mi Tian, Sebastian Ewert, Simon Dixon
2019 J jnl
Training Generative Adversarial Networks from Incomplete Observations using Factorised Discriminators.
CoRR
Daniel Stoller, Sebastian Ewert, Simon Dixon
2018 Misc conf
Adversarial Semi-Supervised Audio Source Separation Applied to Singing Voice Extraction.
ICASSP
Daniel Stoller, Sebastian Ewert, Simon Dixon
2018 — conf
Detection of Cut-Points for Automatic Music Rearrangement.
MLSP
Daniel Stoller, Vincent Akkermans, Simon Dixon
2018 — conf
Jointly Detecting and Separating Singing Voice: A Multi-Task Approach.
LVA/ICA
Daniel Stoller, Sebastian Ewert, Simon Dixon
2018 J jnl
Jointly Detecting and Separating Singing Voice: A Multi-Task Approach.
CoRR
Daniel Stoller, Sebastian Ewert, Simon Dixon
2018 — conf
Wave-U-Net: A Multi-Scale Neural Network for End-to-End Audio Source Separation.
ISMIR
Daniel Stoller, Sebastian Ewert, Simon Dixon
2018 J jnl
Wave-U-Net: A Multi-Scale Neural Network for End-to-End Audio Source Separation.
CoRR
Daniel Stoller, Sebastian Ewert, Simon Dixon
2017 J jnl
Adversarial Semi-Supervised Audio Source Separation applied to Singing Voice Extraction.
CoRR
Daniel Stoller, Sebastian Ewert, Simon Dixon
2016 — conf
Analysis and Classification of Phonation Modes In Singing.
ISMIR
Daniel Stoller, Simon Dixon
2013 — conf
Impact of Frame Size and Instrumentation on Chroma-Based Automatic Chord Recognition.
ECDA
Daniel Stoller, Matthias Mauch, Igor Vatolkin, Claus Weihs