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Sebastian Ewert
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2020 – today
- 2024
- [c46]Yin-Jyun Luo, Sebastian Ewert, Simon Dixon:
Unsupervised Pitch-Timbre Disentanglement of Musical Instruments Using a Jacobian Disentangled Sequential Autoencoder. ICASSP 2024: 1036-1040 - 2023
- [c45]Simon Durand, Daniel Stoller, Sebastian Ewert:
Contrastive Learning-Based Audio to Lyrics Alignment for Multiple Languages. ICASSP 2023: 1-5 - [i18]Simon Durand, Daniel Stoller, Sebastian Ewert:
Contrastive Learning-Based Audio to Lyrics Alignment for Multiple Languages. CoRR abs/2306.07744 (2023) - 2022
- [c44]Jiawen Huang, Emmanouil Benetos
, Sebastian Ewert:
Improving Lyrics Alignment Through Joint Pitch Detection. ICASSP 2022: 451-455 - [c43]Rachel M. Bittner, Juan José Bosch, David Rubinstein, Gabriel Meseguer-Brocal, Sebastian Ewert:
A Lightweight Instrument-Agnostic Model for Polyphonic Note Transcription and Multipitch Estimation. ICASSP 2022: 781-785 - [c42]Yin-Jyun Luo, Sebastian Ewert, Simon Dixon:
Towards Robust Unsupervised Disentanglement of Sequential Data - A Case Study Using Music Audio. IJCAI 2022: 3299-3305 - [i17]Jiawen Huang, Emmanouil Benetos, Sebastian Ewert:
Improving Lyrics Alignment through Joint Pitch Detection. CoRR abs/2202.01646 (2022) - [i16]Rachel M. Bittner, Juan José Bosch, David Rubinstein, Gabriel Meseguer-Brocal, Sebastian Ewert:
A Lightweight Instrument-Agnostic Model for Polyphonic Note Transcription and Multipitch Estimation. CoRR abs/2203.09893 (2022) - [i15]Yin-Jyun Luo, Sebastian Ewert, Simon Dixon:
Towards Robust Unsupervised Disentanglement of Sequential Data - A Case Study Using Music Audio. CoRR abs/2205.05871 (2022) - 2020
- [c41]Daniel Stoller, Sebastian Ewert, Simon Dixon:
Training Generative Adversarial Networks from Incomplete Observations using Factorised Discriminators. ICLR 2020 - [c40]Daniel Stoller, Mi Tian, Sebastian Ewert, Simon Dixon:
Seq-U-Net: A One-Dimensional Causal U-Net for Efficient Sequence Modelling. IJCAI 2020: 2893-2900 - [c39]Ishwarya Ananthabhotla, Sebastian Ewert, Joseph A. Paradiso:
Using a Neural Network Codec Approximation Loss to Improve Source Separation Performance in Limited Capacity Networks. IJCNN 2020: 1-7
2010 – 2019
- 2019
- [j8]Emmanouil Benetos
Automatic Music Transcription: An Overview. IEEE Signal Process. Mag. 36(1): 20-30 (2019) - [c38]Andreas Jansson, Rachel M. Bittner, Sebastian Ewert, Tillman Weyde:
Joint Singing Voice Separation and F0 Estimation with Deep U-Net Architectures. EUSIPCO 2019: 1-5 - [c37]Daniel Stoller, Simon Durand, Sebastian Ewert:
End-to-end Lyrics Alignment for Polyphonic Music Using an Audio-to-character Recognition Model. ICASSP 2019: 181-185 - [c36]Ishwarya Ananthabhotla, Sebastian Ewert, Joseph A. Paradiso:
Towards a Perceptual Loss: Using a Neural Network Codec Approximation as a Loss for Generative Audio Models. ACM Multimedia 2019: 1518-1525 - [i14]Daniel Stoller
End-to-end Lyrics Alignment for Polyphonic Music Using an Audio-to-Character Recognition Model. CoRR abs/1902.06797 (2019) - [i13]Daniel Stoller
Training Generative Adversarial Networks from Incomplete Observations using Factorised Discriminators. CoRR abs/1905.12660 (2019) - [i12]Daniel Stoller
Seq-U-Net: A One-Dimensional Causal U-Net for Efficient Sequence Modelling. CoRR abs/1911.06393 (2019) - 2018
- [c35]Daniel Stoller
Jointly Detecting and Separating Singing Voice: A Multi-Task Approach. LVA/ICA 2018: 329-339 - [c34]Delia Fano Yela
Shift-Invariant Kernel Additive Modelling for Audio Source Separation. ICASSP 2018: 616-620 - [c33]Daniel Stoller
Adversarial Semi-Supervised Audio Source Separation Applied to Singing Voice Extraction. ICASSP 2018: 2391-2395 - [c32]Daniel Stoller, Sebastian Ewert, Simon Dixon:
Wave-U-Net: A Multi-Scale Neural Network for End-to-End Audio Source Separation. ISMIR 2018: 334-340 - [i11]Daniel Stoller, Sebastian Ewert, Simon Dixon:
Jointly Detecting and Separating Singing Voice: A Multi-Task Approach. CoRR abs/1804.01650 (2018) - [i10]Daniel Stoller, Sebastian Ewert, Simon Dixon:
Wave-U-Net: A Multi-Scale Neural Network for End-to-End Audio Source Separation. CoRR abs/1806.03185 (2018) - 2017
- [j7]Siying Wang, Sebastian Ewert
Identifying Missing and Extra Notes in Piano Recordings Using Score-Informed Dictionary Learning. IEEE ACM Trans. Audio Speech Lang. Process. 25(10): 1877-1889 (2017) - [c31]Delia Fano Yela
Interference reduction in music recordings combining Kernel Additive Modelling and Non-Negative Matrix Factorization. ICASSP 2017: 51-55 - [c30]Ken O'Hanlon, Sebastian Ewert
Improved template based chord recognition using the CRP feature. ICASSP 2017: 306-310 - [c29]Sebastian Ewert
Structured dropout for weak label and multi-instance learning and its application to score-informed source separation. ICASSP 2017: 2277-2281 - [c28]Delia Fano Yela, Sebastian Ewert, Derry Fitzgerald, Mark B. Sandler:
On the Importance of Temporal Context in Proximity Kernels: A Vocal Separation Case Study. Semantic Audio 2017 - [c27]Sebastian Ewert, Mark B. Sandler
An augmented lagrangian method for piano transcription using equal loudness thresholding and lstm-based decoding. WASPAA 2017: 146-150 - [i9]Delia Fano Yela, Sebastian Ewert, Derry FitzGerald, Mark B. Sandler:
On the Importance of Temporal Context in Proximity Kernels: A Vocal Separation Case Study. CoRR abs/1702.02130 (2017) - [i8]Sebastian Ewert, Mark B. Sandler:
An Augmented Lagrangian Method for Piano Transcription using Equal Loudness Thresholding and LSTM-based Decoding. CoRR abs/1707.00160 (2017) - [i7]Daniel Stoller
Adversarial Semi-Supervised Audio Source Separation applied to Singing Voice Extraction. CoRR abs/1711.00048 (2017) - [i6]Delia Fano Yela, Sebastian Ewert, Ken O'Hanlon, Mark B. Sandler:
Shift-Invariant Kernel Additive Modelling for Audio Source Separation. CoRR abs/1711.00351 (2017) - 2016
- [j6]Sebastian Ewert
Piano Transcription in the Studio Using an Extensible Alternating Directions Framework. IEEE ACM Trans. Audio Speech Lang. Process. 24(11): 1983-1997 (2016) - [j5]Siying Wang, Sebastian Ewert
Robust and Efficient Joint Alignment of Multiple Musical Performances. IEEE ACM Trans. Audio Speech Lang. Process. 24(11): 2132-2145 (2016) - [c26]Francisco J. Rodríguez-Serrano, Sebastian Ewert
A score-informed shift-invariant extension of complex matrix factorization for improving the separation of overlapped partials in music recordings. ICASSP 2016: 61-65 - [c25]Sebastian Ewert, Siying Wang, Meinard Müller, Mark B. Sandler:
Score-Informed Identification of Missing and Extra Notes in Piano Recordings. ISMIR 2016: 30-36 - [c24]Jonathan Driedger, Stefan Balke, Sebastian Ewert, Meinard Müller:
Template-Based Vibrato Analysis in Complex Music Signals. ISMIR 2016: 239-245 - [i5]Siying Wang, Sebastian Ewert, Simon Dixon:
Robust Joint Alignment of Multiple Versions of a Piece of Music. CoRR abs/1604.08516 (2016) - [i4]Sebastian Ewert, Mark B. Sandler:
Piano Transcription in the Studio Using an Extensible Alternating Directions Framework. CoRR abs/1606.00785 (2016) - [i3]Sebastian Ewert, Mark B. Sandler:
Structured Dropout for Weak Label and Multi-Instance Learning and Its Application to Score-Informed Source Separation. CoRR abs/1609.04557 (2016) - [i2]Delia Fano Yela, Sebastian Ewert, Derry FitzGerald, Mark B. Sandler:
Interference Reduction in Music Recordings Combining Kernel Additive Modelling and Non-Negative Matrix Factorization. CoRR abs/1609.06210 (2016) - 2015
- [c23]Sebastian Ewert
A dynamic programming variant of non-negative matrix deconvolution for the transcription of struck string instruments. ICASSP 2015: 569-573 - [c22]Siying Wang, Sebastian Ewert
Compensating for asynchronies between musical voices in score-performance alignment. ICASSP 2015: 589-593 - 2014
- [j4]Jonathan Driedger, Meinard Müller
Improving Time-Scale Modification of Music Signals Using Harmonic-Percussive Separation. IEEE Signal Process. Lett. 21(1): 105-109 (2014) - [j3]Sebastian Ewert
Score-Informed Source Separation for Musical Audio Recordings: An overview. IEEE Signal Process. Mag. 31(3): 116-124 (2014) - [c21]Sebastian Ewert
Accounting for phase cancellations in non-negative matrix factorization using weighted distances. ICASSP 2014: 649-653 - [c20]Emmanouil Benetos
Automatic transcription of pitched and unpitched sounds from polyphonic music. ICASSP 2014: 3107-3111 - [c19]Siying Wang, Sebastian Ewert, Simon Dixon:
Robust Joint Alignment of Multiple Versions of a Piece of Music. ISMIR 2014: 83-88 - [e1]Christian Dittmar, György Fazekas, Sebastian Ewert:
AES International Conference on Semantic Audio 2014, London, UK, January 27-29, 2014. Audio Engineering Society 2014, ISBN 978-0-937803-96-7 [contents] - 2013
- [c18]Meinard Müller, Jonathan Driedger, Sebastian Ewert:
Notentext-Informierte Quellentrennung für Musiksignale. GI-Jahrestagung 2013: 2928-2942 - [c17]Sebastian Ewert
Efficient data adaption for musical source separation methods based on parametric models. ICASSP 2013: 46-50 - [c16]Matthias Mauch, Sebastian Ewert:
The Audio Degradation Toolbox and Its Application to Robustness Evaluation. ISMIR 2013: 83-88 - [c15]Jonathan Driedger, Harald Grohganz, Thomas Prätzlich, Sebastian Ewert
Score-informed audio decomposition and applications. ACM Multimedia 2013: 541-544 - 2012
- [b1]Sebastian Ewert:
Signal processing methods for music synchronization, audio matching, and source separation. University of Bonn, 2012, pp. 1-162 - [j2]Sebastian Ewert
Towards Cross-Version Harmonic Analysis of Music. IEEE Trans. Multim. 14(3-2): 770-782 (2012) - [c14]Sebastian Ewert
Using score-informed constraints for NMF-based source separation. ICASSP 2012: 129-132 - [c13]Verena Thomas, Sebastian Ewert
Fast intra-collection audio matching. MIRUM 2012: 1-6 - [p1]Sebastian Ewert
Score-Informed Source Separation for Music Signals. Multimodal Music Processing 2012: 73-94 - 2011
- [c12]Sebastian Ewert
Estimating note intensities in music recordings. ICASSP 2011: 385-388 - [c11]Meinard Müller, Sebastian Ewert:
Chroma Toolbox: Matlab Implementations for Extracting Variants of Chroma-Based Audio Features. ISMIR 2011: 215-220 - [c10]Sebastian Ewert, Meinard Müller:
Score-Informed Voice Separation For Piano Recordings. ISMIR 2011: 245-250 - [c9]David Damm, Harald Grohganz, Frank Kurth, Sebastian Ewert, Michael Clausen:
SyncTS: Automatic Synchronization of Speech and Text Documents. Semantic Audio 2011 - 2010
- [j1]Meinard Müller
Towards Timbre-Invariant Audio Features for Harmony-Based Music. IEEE Trans. Speech Audio Process. 18(3): 649-662 (2010) - [c8]Verena Konz, Meinard Müller, Sebastian Ewert:
A Multi-Perspective Evaluation Framework for Chord Recognition. ISMIR 2010: 9-14
2000 – 2009
- 2009
- [c7]Sebastian Ewert, Meinard Müller
Towards Reliable Partial Music Alignments Using Multiple Synchronization Strategies. Adaptive Multimedia Retrieval 2009: 35-48 - [c6]Sebastian Ewert
High resolution audio synchronization using chroma onset features. ICASSP 2009: 1869-1872 - [c5]Meinard Müller, Sebastian Ewert, Sebastian Kreuzer:
Making chroma features more robust to timbre changes. ICASSP 2009: 1877-1880 - [c4]Meinard Müller, Verena Konz, Andi Scharfstein, Sebastian Ewert, Michael Clausen:
Towards Automated Extraction of Tempo Parameters from Expressive Music Recordings. ISMIR 2009: 69-74 - [c3]Christian Fremerey, Michael Clausen, Sebastian Ewert, Meinard Müller:
Sheet Music-Audio Identification. ISMIR 2009: 645-650 - [i1]Sebastian Ewert, Meinard Müller, Daniel Müllensiefen, Michael Clausen, Geraint A. Wiggins:
Case Study "Beatles Songs" - What can be Learned from Unreliable Music Alignments? Knowledge Representation for Intelligent Music Processing 2009 - 2008
- [c2]Sebastian Ewert
Refinement Strategies for Music Synchronization. CMMR 2008: 147-165 - [c1]Meinard Müller, Sebastian Ewert:
Joint Structure Analysis with Applications to Music Annotation and Synchronization. ISMIR 2008: 389-394
Coauthor Index
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last updated on 2024-08-06 21:00 CEST by the dblp team
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