| 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 | 727 | 2018 |
| Automatic music transcription: An overview E Benetos, S Dixon, Z Duan, S Ewert IEEE Signal Processing Magazine 36 (1), 20-30, 2018 | 314 | 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 | 306* | 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 | 219 | 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 | 172 | 2010 |
| 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 | 132 | 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 | 111 | 2012 |
| 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 | 106 | 2019 |
| The Audio Degradation Toolbox And Its Application To Robustness Evaluation M Mauch, S Ewert Proceedings of the International Society for Music Information Retrieval …, 2013 | 94 | 2013 |
| 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 | 91 | 2014 |
| 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 | 86 | 2018 |
| 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 | 80 | 2009 |
| Sheet Music-Audio Identification C Fremerey, M Clausen, S Ewert, M Müller Proceedings of the International Society for Music Information Retrieval …, 2009 | 45 | 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 | 38 | 2008 |
| 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 | 37 | 2009 |
| 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 | 35 | 2014 |
| Estimating Note Intensities In Music Recordings S Ewert, M Müller Proceedings of the IEEE International Conference on Acoustics, Speech, and …, 2011 | 35 | 2011 |
| Seq-U-Net: A One-Dimensional Causal U-Net for Efficient Sequence Modelling D Stoller, M Tian, S Ewert, S Dixon Proceedings of the International Joint Conference on Artificial Intelligence …, 2020 | 31 | 2020 |
| Joint Singing Voice Separation and F0 Estimation with Deep U-Net Architectures A Jansson, RM Bittner, S Ewert, T Weyde Proceedings of the European Signal Processing Conference (EUSIPCO), 1-5, 2019 | 31 | 2019 |
| Piano Transcription in the Studio Using an Extensible Alternating Directions Framework S Ewert, M Sandler IEEE/ACM Transactions on Audio, Speech, and Language Processing 24 (11 …, 2016 | 30 | 2016 |
Meinard MüllerInternational Audio Laboratories Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg在 audiolabs-erlangen.de 的电子邮件经过验证
