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Author

Daniel Stoller

Observed names: Stoller Daniel, Stoller, Daniel
Institution: Spotify (Sweden)
ORCID: 0000-0002-8615-4144
Observed ORCID: 0000-0002-8615-4144
OpenAlex ID: A5063832676
Wave-U-Net: A Multi-Scale Neural Network for End-to-End Audio Source Separation
2018 · Stoller, Daniel, Ewert, Sebastian, et al. · arXiv (Cornell University) · 608
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Ensemble Models for Spoofing Detection in Automatic Speaker Verification
2019 · Bhusan Chettri, Daniel Stoller, et al. · Interspeech (USB) · 112
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Adversarial Semi-Supervised Audio Source Separation Applied to Singing Voice Extraction
2018 · Daniel Stoller, Sebastian Ewert, et al. · IEEE International Conference on Acoustics Speech and Signal Processing · 80
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End-to-end Lyrics Alignment for Polyphonic Music Using an Audio-to-character Recognition Model
2019 · Daniel Stoller, Simon Durand, et al. · IEEE International Conference on Acoustics Speech and Signal Processing · 78
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LLark: A Multimodal Instruction-Following Language Model for Music
2023 · Gardner, Josh, Durand, Simon, et al. · arXiv (Cornell University) · 47
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Seq-U-Net: A One-Dimensional Causal U-Net for Efficient Sequence Modelling
2020 · Daniel Stoller, Mi Tian, et al. · International Joint Conference on Artificial Intelligence · 37
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A Deep Learning Approach to Intelligent Drum Mixing With the Wave-U-Net
2021 · Marco A. Martínez Ramírez, Daniel Stoller, et al. · Journal of the Audio Engineering Society · 20
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Jointly Detecting and Separating Singing Voice: A Multi-Task Approach
2018 · Daniel Stoller, Sebastian Ewert, et al. · Lecture notes in computer science · 20
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Few-Shot Musical Source Separation
2022 · Yu Wang, Daniel Stoller, et al. · IEEE International Conference on Acoustics Speech and Signal Processing · 18
GAN-based Generation and Automatic Selection of Explanations for Neural Networks
2019 · Mishra, Saumitra, Stoller, Daniel, et al. · arXiv (Cornell University) · 12
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Contrastive Learning-Based Audio to Lyrics Alignment for Multiple Languages
2023 · Simon Durand, Daniel Stoller, et al. · IEEE International Conference on Acoustics Speech and Signal Processing · 11
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Analysis And Classification Of Phonation Modes In Singing.
2016 · Stoller, Daniel, Dixon, Simon · Queen Mary Research Online (Queen Mary University of London) · 10
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Training Generative Adversarial Networks from Incomplete Observations using Factorised Discriminators
2019 · Stoller, Daniel, Ewert, Sebastian, et al. · arXiv (Cornell University) · 3
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A Comparative Study of Neural Models for Polyphonic Music Sequence Transduction
2019 · Ycart, Adrien, Stoller, Daniel, et al. · Queen Mary Research Online (Queen Mary University of London) · 2
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Detection of Cut-Points for Automatic Music Rearrangement
2018 · Daniel Stoller, Vincent Akkermans, et al. · Machine learning for signal processing ... · 2
Intuitive and efficient computer-aided music rearrangement with optimised processing of audio transitions
2018 · Daniel Stoller, Igor Vatolkin, et al. · Journal of New Music Research · 2
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Efficient Representation Learning for Music Via Likelihood Factorisation of a Variational Autoencoder
2025 · Ningzhi Wang, Daniel Stoller, et al. · Machine learning for signal processing ... · 1
Evolutionary Multi-objective Training Set Selection of Data Instances and Augmentations for Vocal Detection
2019 · Igor Vatolkin, Daniel Stoller · Lecture notes in computer science · 1
SAUNA: Song-Level Audio & User-Listening Data Neural Alignment
2026 · Morgan Buisson, Juan José Bosch, et al. · IEEE International Conference on Acoustics Speech and Signal Processing
Few-Shot Musical Source Separation
2022 · Wang, Yu, Stoller, Daniel, et al. · arXiv (Cornell University)
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A large joint sound scene and sound event dataset for source separation of foreground sound events
2020 · Stoller, Daniel, Bear, Helen L, et al. · Zenodo (CERN European Organization for Nuclear Research)
End-to-End Lyrics Alignment Using An Audio-to-Character Recognition Model
2019 · Daniel Stoller, Simon Durand, et al.
オーディオから文字への認識モデルを用いた多音音楽のための末端から末端へのLyricsアラインメント【JST・京大機械翻訳】
2019 · Stoller Daniel, Durand Simon, et al. · IEEE Conference Proceedings
Semi-Supervised Adversarial Audio Source Separation applied to Singing Voice Extraction
2018 · Daniel Stoller, Sebastian Ewert, et al.
Intuitive and efficient computer-aided music rearrangement with optimised processing of audio transitions
2018 · Stoller, Daniel, Vatolkin, Igor, et al. · Figshare
Works count: 29
Citation count: 1,064
H-index: 11
I10-index: 12
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