Sebastian Ewert

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Meinard MüllerFriedrich-Alexander Universität Erlangen-Nürnberg (FAU), International Audio Laboratories ErlangenVerified email at audiolabs-erlangen.de
Simon DixonCentre for Digital Music, Queen Mary University of LondonVerified email at qmul.ac.uk
Mark SandlerQueen Mary University of LondonVerified email at eecs.qmul.ac.uk
Daniel StollerSpotifyVerified email at spotify.com
Jonathan DriedgerChordifyVerified email at chordify.net
Peter GroscheHuaweiVerified email at huawei.com
Siying WangQueen Mary University of LondonVerified email at qmul.ac.uk
Mark D. PlumbleyCentre for Vision, Speech and Signal Processing (CVSSP), University of SurreyVerified email at surrey.ac.uk
Emmanouil BenetosQueen Mary University of London / The Alan Turing InstituteVerified email at qmul.ac.uk
Simon DurandSenior Research Scientist, SpotifyVerified email at spotify.com
Matthias MauchVisiting Lecturer at Queen Mary University of LondonVerified email at qmul.ac.uk
Zhiyao DuanElectrical and Computer Engineering, University of RochesterVerified email at rochester.edu
Delia Fano YelaResearch Scientist at ChordifyVerified email at chordify.net
Bryan PardoComputer Science, Northwestern UniversityVerified email at northwestern.edu
Harald GrohganzPhD, Bonn UniversityVerified email at uni-bonn.de
Tillman WeydeSenior Lecturer in Computer Science, City University LondonVerified email at city.ac.uk
Geraint WigginsProfessor of Computational Creativity, Vrije Universiteit Brussel / Queen Mary University of LondonVerified email at vub.ac.be
Derry fitzgeraldChief Technical Officer, AudioSourceRE dac., Rubicon Centre, Bishopstown, Cork, IrelandVerified email at audiosourcere.com
Daniel MüllensiefenProfessor, Department of Psychology, Goldsmiths, University of LondonVerified email at gold.ac.uk
Frank KurthFraunhofer FKIE, apl. Professor für Informatik, Universität BonnVerified email at fkie.fraunhofer.de

Sebastian Ewert

Spotify

Verified email at qmul.ac.uk - Homepage

Machine Listening Audio Signal Processing Machine Learning Music Information Retrieval


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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	328	2018
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	252	2011
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	188	2009
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	162	2010
Automatic music transcription: An overview E Benetos, S Dixon, Z Duan, S Ewert IEEE Signal Processing Magazine 36 (1), 20-30, 2018	129	2018
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	121	2014
Using Score-Informed Constraints For NMF-Based Source Separation S Ewert, M Müller Proceedings of the IEEE International Conference on Acoustics, Speech, and …, 2012	100	2012
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	78	2009
The Audio Degradation Toolbox And Its Application To Robustness Evaluation M Mauch, S Ewert Proceedings of the International Society for Music Information Retrieval …, 2013	76	2013
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	63	2018
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	63	2014
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	48	2019
Sheet Music-Audio Identification C Fremerey, M Clausen, S Ewert, M Müller Proceedings of the International Society for Music Information Retrieval …, 2009	39	2009
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	33	2009
Joint Structure Analysis with Applications to Music Annotation and Synchronization M Müller, S Ewert Proceedings of the International Society for Music Information Retrieval …, 2008	33	2008
Estimating Note Intensities In Music Recordings S Ewert, M Müller Proceedings of the IEEE International Conference on Acoustics, Speech, and …, 2011	32	2011
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	31	2014
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	23	2013
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	22	2017
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	22	2014

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