Sebastian Böck

Cited by

	All	Since 2018
Citations	2881	1835
h-index	26	23
i10-index	33	29

460

230

115

345

20112012201320142015201620172018201920202021202220239 40 65 119 148 274 357 371 319 332 449 325 38

Public access

View all

31 articles

0 articles

available

not available

Based on funding mandates

Co-authors

Gerhard WidmerProfessor of Computer Science, Johannes Kepler University LinzVerified email at jku.at
Jan SchlüterJohannes Kepler University Linz (JKU)Verified email at jku.at
Markus SchedlProfessor at Johannes Kepler University Linz, Institute of Computational PerceptionVerified email at jku.at
Andreas ArztAppleVerified email at apple.com
Filip KorzeniowskiMoises.AIVerified email at superfuzz.me
Peter KneesFaculty of Informatics, TU WienVerified email at tuwien.ac.at
Matthew E. P. DaviesSiriusXM / PandoraVerified email at siriusxm.com
Richard VoglFaculty of Informatics, TU WienVerified email at tuwien.ac.at
Harald FrostelDepartment for Computational Perception, Johannes Kepler University, Linz, AustriaVerified email at jku.at
Ángel FaraldoMusic Technology Group, Universitat Pompeu FabraVerified email at upf.edu
Perfecto Herrera BoyerMusic Technology Group, Universitat Pompeu FabraVerified email at upf.edu
Bernhard LehnerSilicon Austria LabsVerified email at liwest.at
Tom CollinsUniversity of York; MAIA, Inc.Verified email at york.ac.uk
Augusto SartiFull Professor at Politecnico di MilanoVerified email at polimi.it
Massimiliano Zanonipost-doc @ the Politecinco di Milano UniversityVerified email at polimi.it
Bruno Di GiorgiAppleVerified email at apple.com
Cynthia C. S. LiemAssociate Professor, Multimedia Computing Group, Delft University of TechnologyVerified email at tudelft.nl
António Sá PintoPh.D.Candidate, Faculdade de Engenharia da Universidade do PortoVerified email at fe.up.pt
Jaime CardosoFull Professor at Faculty of Engineering, University of Porto; Researcher at INESC TECVerified email at fe.up.pt
Alexander SchindlerAustrian Institute of Technology, AustriaVerified email at ifs.tuwien.ac.at

Sebastian Böck

enliteAI

Verified email at enlite.ai

Deep Learning Music Information Retrieval Audio Signal Processing Computer Vision


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Improved musical onset detection with convolutional neural networks J Schlüter, S Böck 2014 ieee international conference on acoustics, speech and signal …, 2014	293	2014
Madmom: A new python audio and music signal processing library S Böck, F Korzeniowski, J Schlüter, F Krebs, G Widmer Proceedings of the 24th ACM international conference on Multimedia, 1174-1178, 2016	247	2016
Universal onset detection with bidirectional long-short term memory neural networks F Eyben, S Böck, B Schuller, A Graves	207	2010
Polyphonic piano note transcription with recurrent neural networks S Böck, M Schedl 2012 IEEE international conference on acoustics, speech and signal …, 2012	183	2012
Evaluating the Online Capabilities of Onset Detection Methods. S Böck, F Krebs, M Schedl ISMIR, 49-54, 2012	166	2012
Maximum filter vibrato suppression for onset detection S Böck, G Widmer Proc. of the 16th Int. Conf. on Digital Audio Effects (DAFx). Maynooth …, 2013	155	2013
Joint Beat and Downbeat Tracking with Recurrent Neural Networks. S Böck, F Krebs, G Widmer ISMIR, 255-261, 2016	135	2016
On the potential of simple framewise approaches to piano transcription R Kelz, M Dorfer, F Korzeniowski, S Böck, A Arzt, G Widmer arXiv preprint arXiv:1612.05153, 2016	134	2016
Enhanced beat tracking with context-aware neural networks S Böck, M Schedl Proc. Int. Conf. Digital Audio Effects, 135-139, 2011	134	2011
Rhythmic Pattern Modeling for Beat and Downbeat Tracking in Musical Audio. F Krebs, S Böck, G Widmer Ismir, 227-232, 2013	108	2013
Accurate Tempo Estimation Based on Recurrent Neural Networks and Resonating Comb Filters. S Böck, F Krebs, G Widmer ISMIR, 625-631, 2015	99	2015
A Multi-model Approach to Beat Tracking Considering Heterogeneous Music Styles. S Böck, F Krebs, G Widmer ISMIR, 603-608, 2014	94	2014
Online real-time onset detection with recurrent neural networks S Böck, A Arzt, F Krebs, M Schedl Proceedings of the 15th International Conference on Digital Audio Effects …, 2012	89	2012
Musical onset detection with convolutional neural networks J Schlüter, S Böck 6th international workshop on machine learning and music (MML), Prague …, 2013	81	2013
An Efficient State-Space Model for Joint Tempo and Meter Tracking. F Krebs, S Böck, G Widmer ISMIR, 72-78, 2015	75	2015
Two data sets for tempo estimation and key detection in electronic dance music annotated from user corrections P Knees, Á Faraldo Pérez, H Boyer, R Vogl, S Böck, F Hörschläger, ... Proceedings of the 16th International Society for Music Information …, 2015	69	2015
Multi-Task Learning of Tempo and Beat: Learning One to Improve the Other. S Böck, MEP Davies, P Knees ISMIR, 486-493, 2019	54	2019
Downbeat Tracking Using Beat Synchronous Features with Recurrent Neural Networks. F Krebs, S Böck, M Dorfer, G Widmer ISMIR, 129-135, 2016	52	2016
A low-latency, real-time-capable singing voice detection method with LSTM recurrent neural networks B Lehner, G Widmer, S Bock 2015 23rd European signal processing conference (EUSIPCO), 21-25, 2015	51	2015
Temporal convolutional networks for musical audio beat tracking EP MatthewDavies, S Böck 2019 27th European Signal Processing Conference (EUSIPCO), 1-5, 2019	45	2019

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors