Sebastian Böck
Sebastian Böck
enliteAI
Adresse e-mail validée de enlite.ai
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Improved musical onset detection with convolutional neural networks
J Schlüter, S Böck
2014 ieee international conference on acoustics, speech and signal …, 2014
2332014
Universal onset detection with bidirectional long-short term memory neural networks
F Eyben, S Böck, B Schuller, A Graves
Proc. 11th Intern. Soc. for Music Information Retrieval Conference, ISMIR …, 2010
1822010
Polyphonic piano note transcription with recurrent neural networks
S Böck, M Schedl
2012 IEEE international conference on acoustics, speech and signal …, 2012
1612012
Evaluating the Online Capabilities of Onset Detection Methods.
S Böck, F Krebs, M Schedl
ISMIR, 49-54, 2012
1432012
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
1392016
Maximum filter vibrato suppression for onset detection
S Böck, G Widmer
Proc. of the 16th Int. Conf. on Digital Audio Effects (DAFx). Maynooth …, 2013
1182013
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
1082016
Enhanced beat tracking with context-aware neural networks
S Böck, M Schedl
Proc. Int. Conf. Digital Audio Effects, 135-139, 2011
942011
Joint Beat and Downbeat Tracking with Recurrent Neural Networks.
S Böck, F Krebs, G Widmer
ISMIR, 255-261, 2016
882016
Rhythmic Pattern Modeling for Beat and Downbeat Tracking in Musical Audio.
F Krebs, S Böck, G Widmer
Ismir, 227-232, 2013
882013
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
782012
Accurate Tempo Estimation Based on Recurrent Neural Networks and Resonating Comb Filters.
S Böck, F Krebs, G Widmer
ISMIR, 625-631, 2015
762015
A Multi-model Approach to Beat Tracking Considering Heterogeneous Music Styles.
S Böck, F Krebs, G Widmer
ISMIR, 603-608, 2014
702014
Musical onset detection with convolutional neural networks
J Schlüter, S Böck
6th international workshop on machine learning and music (MML), Prague …, 2013
702013
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
512015
An Efficient State-Space Model for Joint Tempo and Meter Tracking.
F Krebs, S Böck, G Widmer
ISMIR, 72-78, 2015
482015
Downbeat Tracking Using Beat Synchronous Features with Recurrent Neural Networks.
F Krebs, S Böck, M Dorfer, G Widmer
ISMIR, 129-135, 2016
432016
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
402015
Bridging the audio-symbolic gap: The discovery of repeated note content directly from polyphonic music audio
T Collins, S Böck, F Krebs, G Widmer
Audio Engineering Society Conference: 53rd International Conference …, 2014
372014
Fast Identification of Piece and Score Position via Symbolic Fingerprinting.
A Arzt, S Böck, G Widmer
ISMIR, 433-438, 2012
352012
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