Daniel Stoller
Orcid: 0000-0002-8615-4144
According to our database1,
Daniel Stoller
authored at least 19 papers
between 2013 and 2024.
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Book In proceedings Article PhD thesis Dataset OtherLinks
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Bibliography
2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
2023
Proceedings of the IEEE International Conference on Acoustics, 2023
2022
Proceedings of the IEEE International Conference on Acoustics, 2022
2020
A large joint sound scene and sound event dataset for source separation of foreground sound events.
Dataset, February, 2020
PhD thesis, 2020
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Training Generative Adversarial Networks from Incomplete Observations using Factorised Discriminators.
Proceedings of the 8th International Conference on Learning Representations, 2020
2019
CoRR, 2019
Proceedings of the 20th International Society for Music Information Retrieval Conference, 2019
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019
End-to-end Lyrics Alignment for Polyphonic Music Using an Audio-to-character Recognition Model.
Proceedings of the IEEE International Conference on Acoustics, 2019
Evolutionary Multi-objective Training Set Selection of Data Instances and Augmentations for Vocal Detection.
Proceedings of the Computational Intelligence in Music, Sound, Art and Design, 2019
2018
Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018
Proceedings of the 19th International Society for Music Information Retrieval Conference, 2018
Adversarial Semi-Supervised Audio Source Separation Applied to Singing Voice Extraction.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
Proceedings of the Latent Variable Analysis and Signal Separation, 2018
2016
Proceedings of the 17th International Society for Music Information Retrieval Conference, 2016
2013
Impact of Frame Size and Instrumentation on Chroma-Based Automatic Chord Recognition.
Proceedings of the Data Science, 2013