Impact of Frame Size and Instrumentation on Chroma-Based Automatic Chord Recognition. - Daniel Stoller; Matthias Mauch; Igor Vatolkin; Claus Weihs (ECDA, 2013)

Analysis and Classification of Phonation Modes In Singing. - Daniel Stoller; Simon Dixon (ISMIR, 2016)

Jointly Detecting and Separating Singing Voice: A Multi-Task Approach. - Daniel Stoller; Sebastian Ewert; Simon Dixon (LVA/ICA, 2018)

Adversarial Semi-Supervised Audio Source Separation Applied to Singing Voice Extraction. - Daniel Stoller; Sebastian Ewert; Simon Dixon (ICASSP, 2018)

Wave-U-Net: A Multi-Scale Neural Network for End-to-End Audio Source Separation. - Daniel Stoller; Sebastian Ewert; Simon Dixon (ISMIR, 2018)

Detection of Cut-Points for Automatic Music Rearrangement. - Daniel Stoller; Vincent Akkermans; Simon Dixon (MLSP, 2018)

Evolutionary Multi-objective Training Set Selection of Data Instances and Augmentations for Vocal Detection. - Igor Vatolkin; Daniel Stoller (EvoMUSART, 2019)

End-to-end Lyrics Alignment for Polyphonic Music Using an Audio-to-character Recognition Model. - Daniel Stoller; Simon Durand; Sebastian Ewert (ICASSP, 2019)

Ensemble Models for Spoofing Detection in Automatic Speaker Verification. - Bhusan Chettri; Daniel Stoller; Veronica Morfi; Marco A. Martínez Ramírez; Emmanouil Benetos; Bob L. Sturm (INTERSPEECH, 2019)

A Comparative Study of Neural Models for Polyphonic Music Sequence Transduction. - Adrien Ycart; Daniel Stoller; Emmanouil Benetos (ISMIR, 2019)

GAN-based Generation and Automatic Selection of Explanations for Neural Networks. - Saumitra Mishra; Daniel Stoller; Emmanouil Benetos; Bob L. Sturm; Simon Dixon (CoRR, 2019)

Training Generative Adversarial Networks from Incomplete Observations using Factorised Discriminators. - Daniel Stoller; Sebastian Ewert; Simon Dixon (ICLR, 2020)

Seq-U-Net: A One-Dimensional Causal U-Net for Efficient Sequence Modelling. - Daniel Stoller; Mi Tian 001; Sebastian Ewert; Simon Dixon (IJCAI, 2020)

Deep learning for music information retrieval in limited data scenarios. - Daniel Stoller (2020)

A large joint sound scene and sound event dataset for source separation of foreground sound events. - Daniel Stoller; Helen L. Bear; Emmanouil Benetos (Zenodo, 2020)

Few-Shot Musical Source Separation. - Yu Wang 105; Daniel Stoller; Rachel M. Bittner; Juan Pablo Bello (ICASSP, 2022)

Contrastive Learning-Based Audio to Lyrics Alignment for Multiple Languages. - Simon Durand; Daniel Stoller; Sebastian Ewert (ICASSP, 2023)

LLark: A Multimodal Foundation Model for Music. - Josh Gardner 001; Simon Durand; Daniel Stoller; Rachel M. Bittner (CoRR, 2023)

LLark: A Multimodal Instruction-Following Language Model for Music. - Joshua Patrick Gardner; Simon Durand; Daniel Stoller; Rachel M. Bittner (ICML, 2024)