Daniel Stoller

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 24

Top Topics

Automatic Selection

Discriminative Classifiers

Source Separation

Top Venues

Publications

Simon Durand, Daniel Stoller, Sebastian Ewert
Contrastive Learning-Based Audio to Lyrics Alignment for Multiple Languages. ICASSP (2023)
Simon Durand, Daniel Stoller, Sebastian Ewert
Contrastive Learning-Based Audio to Lyrics Alignment for Multiple Languages. CoRR (2023)
Josh Gardner, Simon Durand, Daniel Stoller, Rachel M. Bittner
LLark: A Multimodal Foundation Model for Music. CoRR (2023)
Yu Wang, Daniel Stoller, Rachel M. Bittner, Juan Pablo Bello
Few-Shot Musical Source Separation. ICASSP (2022)
Yu Wang, Daniel Stoller, Rachel M. Bittner, Juan Pablo Bello
Few-Shot Musical Source Separation. CoRR (2022)
Daniel Stoller, Sebastian Ewert, Simon Dixon
Training Generative Adversarial Networks from Incomplete Observations using Factorised Discriminators. ICLR (2020)
Daniel Stoller, Mi Tian, Sebastian Ewert, Simon Dixon
Seq-U-Net: A One-Dimensional Causal U-Net for Efficient Sequence Modelling. IJCAI (2020)
Daniel Stoller, Mi Tian, Sebastian Ewert, Simon Dixon
Seq-U-Net: A One-Dimensional Causal U-Net for Efficient Sequence Modelling. CoRR (2019)
Saumitra Mishra, Daniel Stoller, Emmanouil Benetos, Bob L. Sturm, Simon Dixon
GAN-based Generation and Automatic Selection of Explanations for Neural Networks. CoRR (2019)
Daniel Stoller, Simon Durand, Sebastian Ewert
End-to-end Lyrics Alignment for Polyphonic Music Using an Audio-to-character Recognition Model. ICASSP (2019)
Bhusan Chettri, Daniel Stoller, Veronica Morfi, Marco A. Martínez Ramírez, Emmanouil Benetos, Bob L. Sturm
Ensemble Models for Spoofing Detection in Automatic Speaker Verification. CoRR (2019)
Daniel Stoller, Sebastian Ewert, Simon Dixon
Training Generative Adversarial Networks from Incomplete Observations using Factorised Discriminators. CoRR (2019)
Adrien Ycart, Daniel Stoller, Emmanouil Benetos
A Comparative Study of Neural Models for Polyphonic Music Sequence Transduction. ISMIR (2019)
Bhusan Chettri, Daniel Stoller, Veronica Morfi, Marco A. Martínez Ramírez, Emmanouil Benetos, Bob L. Sturm
Ensemble Models for Spoofing Detection in Automatic Speaker Verification. INTERSPEECH (2019)
Igor Vatolkin, Daniel Stoller
Evolutionary Multi-objective Training Set Selection of Data Instances and Augmentations for Vocal Detection. EvoMUSART (2019)
Daniel Stoller, Simon Durand, Sebastian Ewert
End-to-end Lyrics Alignment for Polyphonic Music Using an Audio-to-Character Recognition Model. CoRR (2019)
Daniel Stoller, Vincent Akkermans, Simon Dixon
Detection of Cut-Points for Automatic Music Rearrangement. MLSP (2018)
Daniel Stoller, Sebastian Ewert, Simon Dixon
Wave-U-Net: A Multi-Scale Neural Network for End-to-End Audio Source Separation. CoRR (2018)
Daniel Stoller, Sebastian Ewert, Simon Dixon
Jointly Detecting and Separating Singing Voice: A Multi-Task Approach. LVA/ICA (2018)
Daniel Stoller, Sebastian Ewert, Simon Dixon
Adversarial Semi-Supervised Audio Source Separation Applied to Singing Voice Extraction. ICASSP (2018)
Daniel Stoller, Sebastian Ewert, Simon Dixon
Wave-U-Net: A Multi-Scale Neural Network for End-to-End Audio Source Separation. ISMIR (2018)
Daniel Stoller, Sebastian Ewert, Simon Dixon
Jointly Detecting and Separating Singing Voice: A Multi-Task Approach. CoRR (2018)
Daniel Stoller, Sebastian Ewert, Simon Dixon
Adversarial Semi-Supervised Audio Source Separation applied to Singing Voice Extraction. CoRR (2017)
Daniel Stoller, Simon Dixon
Analysis and Classification of Phonation Modes In Singing. ISMIR (2016)
Daniel Stoller, Matthias Mauch, Igor Vatolkin, Claus Weihs
Impact of Frame Size and Instrumentation on Chroma-Based Automatic Chord Recognition. ECDA (2013)