Följ
Sebastian Böck
Sebastian Böck
NXAI
Verifierad e-postadress på nx-ai.com
Titel
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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
3502016
Improved musical onset detection with convolutional neural networks
J Schlüter, S Böck
2014 ieee international conference on acoustics, speech and signal …, 2014
3372014
Universal onset detection with bidirectional long-short term memory neural networks
F Eyben, S Böck, B Schuller, A Graves
2292010
Polyphonic piano note transcription with recurrent neural networks
S Böck, M Schedl
2012 IEEE international conference on acoustics, speech and signal …, 2012
2072012
Maximum filter vibrato suppression for onset detection
S Böck, G Widmer
Proc. of the 16th Int. Conf. on Digital Audio Effects (DAFx). Maynooth …, 2013
2022013
Joint Beat and Downbeat Tracking with Recurrent Neural Networks.
S Böck, F Krebs, G Widmer
ISMIR, 255-261, 2016
1992016
Evaluating the Online Capabilities of Onset Detection Methods.
S Böck, F Krebs, M Schedl
ISMIR, 49-54, 2012
1962012
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
1732016
Enhanced beat tracking with context-aware neural networks
S Böck, M Schedl
Proc. Int. Conf. Digital Audio Effects, 135-139, 2011
1642011
Rhythmic Pattern Modeling for Beat and Downbeat Tracking in Musical Audio.
F Krebs, S Böck, G Widmer
Ismir, 227-232, 2013
1302013
Accurate Tempo Estimation Based on Recurrent Neural Networks and Resonating Comb Filters.
S Böck, F Krebs, G Widmer
ISMIR, 625-631, 2015
1192015
A Multi-model Approach to Beat Tracking Considering Heterogeneous Music Styles.
S Böck, F Krebs, G Widmer
ISMIR, 603-608, 2014
1172014
An Efficient State-Space Model for Joint Tempo and Meter Tracking.
F Krebs, S Böck, G Widmer
ISMIR, 72-78, 2015
1012015
Two Data Sets for Tempo Estimation and Key Detection in Electronic Dance Music Annotated from User Corrections.
P Knees, A Faraldo, P Herrera, R Vogl, S Böck, F Hörschläger, M Le Goff
ISMIR, 364-370, 2015
972015
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
962012
Deconstruct, Analyse, Reconstruct: How to improve Tempo, Beat, and Downbeat Estimation
S Böck, MEP Davies
892020
Multi-Task Learning of Tempo and Beat: Learning One to Improve the Other.
S Böck, MEP Davies, P Knees
ISMIR, 486-493, 2019
892019
Musical onset detection with convolutional neural networks
J Schlüter, S Böck
6th international workshop on machine learning and music (MML), Prague …, 2013
862013
Temporal convolutional networks for musical audio beat tracking
EP MatthewDavies, S Böck
2019 27th European Signal Processing Conference (EUSIPCO), 1-5, 2019
852019
Downbeat Tracking Using Beat Synchronous Features with Recurrent Neural Networks.
F Krebs, S Böck, M Dorfer, G Widmer
ISMIR, 129-135, 2016
632016
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Artiklar 1–20