Sebastian Ewert
Title
Cited by
Cited by
Year
Wave-U-Net: A Multi-Scale Neural Network for End-to-End Audio Source Separation
D Stoller, S Ewert, S Dixon
Proceedings of the International Society for Music Information Retrieval …, 2018
3282018
Chroma Toolbox: MATLAB Implementations for Extracting Variants of Chroma-based Audio Features
M Müller, S Ewert
Proceedings of the International Society for Music Information Retrieval …, 2011
2522011
High Resolution Audio Synchronization Using Chroma Onset Features
S Ewert, M Müller, P Grosche
Proceedings of the IEEE International Conference on Acoustics, Speech, and …, 2009
1882009
Towards Timbre-Invariant Audio Features for Harmony-Based Music
M Müller, S Ewert
IEEE Transactions on Audio, Speech, and Language Processing 18 (3), 649-662, 2010
1622010
Automatic music transcription: An overview
E Benetos, S Dixon, Z Duan, S Ewert
IEEE Signal Processing Magazine 36 (1), 20-30, 2018
1292018
Score-Informed Source Separation for Musical Audio Recordings: An Overview
S Ewert, B Pardo, M Müller, MD Plumbley
IEEE Signal Processing Magazine 31 (3), 116-124, 2014
1212014
Using Score-Informed Constraints For NMF-Based Source Separation
S Ewert, M Müller
Proceedings of the IEEE International Conference on Acoustics, Speech, and …, 2012
1002012
Making Chroma Features More Robust To Timbre Changes
M Müller, S Ewert, S Kreuzer
Proceedings of the IEEE International Conference on Acoustics, Speech, and …, 2009
782009
The Audio Degradation Toolbox And Its Application To Robustness Evaluation
M Mauch, S Ewert
Proceedings of the International Society for Music Information Retrieval …, 2013
762013
Adversarial Semi-Supervised Audio Source Separation applied to Singing Voice Extraction
D Stoller, S Ewert, S Dixon
Proceedings of the IEEE International Conference on Acoustics, Speech, and …, 2018
632018
Improving Time-Scale Modification of Music Signals Using Harmonic-Percussive Separation
J Driedger, M Müller, S Ewert
IEEE Signal Processing Letters 21 (1), 105-109, 2014
632014
End-to-end Lyrics Alignment for Polyphonic Music Using an Audio-to-Character Recognition Model
D Stoller, S Durand, S Ewert
Proceedings of the IEEE International Conference on Acoustics, Speech and …, 2019
482019
Sheet Music-Audio Identification
C Fremerey, M Clausen, S Ewert, M Müller
Proceedings of the International Society for Music Information Retrieval …, 2009
392009
Towards Automated Extraction of Tempo Parameters from Expressive Music Recordings
M Müller, V Konz, A Scharfstein, S Ewert, M Clausen
Proceedings of the International Society for Music Information Retrieval …, 2009
332009
Joint Structure Analysis with Applications to Music Annotation and Synchronization
M Müller, S Ewert
Proceedings of the International Society for Music Information Retrieval …, 2008
332008
Estimating Note Intensities In Music Recordings
S Ewert, M Müller
Proceedings of the IEEE International Conference on Acoustics, Speech, and …, 2011
322011
Automatic Transcription Of Pitched And Unpitched Sounds From Polyphonic Music
E Benetos, S Ewert, T Weyde
Proceedings of the IEEE International Conference on Acoustics, Speech, and …, 2014
312014
Score-Informed Audio Decomposition and Applications
J Driedger, H Grohganz, T Prätzlich, S Ewert, M Müller
Proceedings of the ACM International Conference on Multimedia (ACM-MM), 541-544, 2013
232013
Structured Dropout for Weak Label and Multi-Instance Learning and Its Application to Score-Informed Source Separation
S Ewert, MB Sandler
Proceedings of the IEEE International Conference on Acoustics, Speech, and …, 2017
222017
Robust Joint Alignment of Multiple Versions of a Piece of Music
S Wang, S Ewert, S Dixon
Proceedings of the International Society for Music Information Retrieval …, 2014
222014
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