Concepedia

Daniel Stoller

DS

Statistics

Publications

5

Citations

186

H-Index

5

Active since

2018

Affiliations

Queen Mary University of London(Current)

Daniel Stoller is an author at Queen Mary University of London specializing in machine learning, speech recognition, and deep learning.

Publications per year

2018–2022

5

Publications

5

Wave-U-Net: A Multi-Scale Neural Network for End-to-End Audio Source Separation

Daniel Stoller, Sebastian Ewert, Simon Dixon · arXiv (Cornell University) · 2018 · 75 citations · Full text

Computing, Computer Science, Acoustics +13

End-to-end Lyrics Alignment for Polyphonic Music Using an Audio-to-character Recognition Model

Daniel Stoller, Simon Durand, Sebastian Ewert · 2019 · 70 citations

Computing, Computer Science, Computer Vision +11

A Deep Learning Approach to Intelligent Drum Mixing With the Wave-U-Net

Marco Antonio Ramirez, Daniel Stoller, David Moffat · Journal of the Audio Engineering Society · 2021 · 17 citations · Full text

Education, Musicology, Acoustics +14

Few-Shot Musical Source Separation

Yu Wang, Daniel Stoller, Rachel Bittner et al. · ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) · 2022 · 14 citations

Computing, Data Science, Machine Learning +8

Ensemble Models for Spoofing Detection in Automatic Speaker Verification

Bhusan Chettri, Daniel Stoller, Veronica Morfi et al. · 2019 · 10 citations · Full text

Computing, Computer Science, Cybersecurity +17

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