Articole cu mandate pentru acces public - Gerhard WidmerAflați mai multe
Nu este disponibil nicăieri: 1
On the Use of Computational Methods for Expressive Music Performance
G Werner, G Widmer
Modern Methods for Musicology, 93-114, 2016
Mandate: Austrian Science Fund, Vienna Science and Technology Fund, Austria
Disponibile undeva: 148
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
Mandate: Austrian Science Fund
CP-JKU submissions for DCASE-2016: a hybrid approach using binaural i-vectors and deep convolutional neural networks
H Eghbal-Zadeh, B Lehner, M Dorfer, G Widmer
IEEE AASP Challenge on Detection and Classification of Acoustic Scenes and …, 2016
Mandate: Austrian Science Fund
Joint Beat and Downbeat Tracking with Recurrent Neural Networks.
S Böck, F Krebs, G Widmer
ISMIR, 255-261, 2016
Mandate: Austrian Science Fund
Local and global scaling reduce hubs in space
D Schnitzer, A Flexer, M Schedl, G Widmer
The Journal of Machine Learning Research 13 (1), 2871-2902, 2012
Mandate: Austrian Science Fund
Rhythmic Pattern Modeling for Beat and Downbeat Tracking in Musical Audio.
F Krebs, S Böck, G Widmer
Ismir, 227-232, 2013
Mandate: Austrian Science Fund
Accurate Tempo Estimation Based on Recurrent Neural Networks and Resonating Comb Filters.
S Böck, F Krebs, G Widmer
ISMIR, 625-631, 2015
Mandate: Austrian Science Fund
On Rhythm and General Music Similarity.
T Pohle, D Schnitzer, M Schedl, P Knees, G Widmer
ISMIR, 525-530, 2009
Mandate: Austrian Science Fund
Automatic page turning for musicians via real-time machine listening
A Arzt, G Widmer, S Dixon
ECAI 2008, 241-245, 2008
Mandate: Austrian Science Fund
A Multi-model Approach to Beat Tracking Considering Heterogeneous Music Styles.
S Böck, F Krebs, G Widmer
ISMIR, 603-608, 2014
Mandate: Austrian Science Fund
A fully convolutional deep auditory model for musical chord recognition
F Korzeniowski, G Widmer
2016 IEEE 26th International Workshop on Machine Learning for Signal …, 2016
Mandate: European Commission
A review of automatic drum transcription
CW Wu, C Dittmar, C Southall, R Vogl, G Widmer, J Hockman, M Müller, ...
IEEE/ACM Transactions on Audio, Speech, and Language Processing 26 (9), 1457 …, 2018
Mandate: German Research Foundation, Fraunhofer-Gesellschaft
An Efficient State-Space Model for Joint Tempo and Meter Tracking.
F Krebs, S Böck, G Widmer
ISMIR, 72-78, 2015
Mandate: Austrian Science Fund
Imposing higher-level structure in polyphonic music generation using convolutional restricted boltzmann machines and constraints
S Lattner, M Grachten, G Widmer
Journal of Creative Music Systems 2, 1-31, 2018
Mandate: European Commission
Fusing block-level features for music similarity estimation
K Seyerlehner, G Widmer, T Pohle
Proc. of the 13th Int. Conference on Digital Audio Effects (DAFx-10), 225-232, 2010
Mandate: Austrian Science Fund
Feature-combination hybrid recommender systems for automated music playlist continuation
A Vall, M Dorfer, H Eghbal-Zadeh, M Schedl, K Burjorjee, G Widmer
User Modeling and User-Adapted Interaction 29, 527-572, 2019
Mandate: European Commission
On the reduction of false positives in singing voice detection
B Lehner, G Widmer, R Sonnleitner
2014 IEEE international conference on acoustics, speech and signal …, 2014
Mandate: Austrian Science Fund
Computational models of expressive music performance: A comprehensive and critical review
CE Cancino-Chacón, M Grachten, W Goebl, G Widmer
Frontiers in Digital Humanities 5, 25, 2018
Mandate: Austrian Science Fund, European Commission
Robust quad-based audio fingerprinting
R Sonnleitner, G Widmer
IEEE/ACM Transactions on Audio, Speech, and Language Processing 24 (3), 409-421, 2015
Mandate: Austrian Science Fund
Efficient large-scale audio tagging via transformer-to-cnn knowledge distillation
F Schmid, K Koutini, G Widmer
ICASSP 2023-2023 IEEE international Conference on acoustics, Speech and …, 2023
Mandate: European Commission
Informațiile despre publicații și finanțare sunt alese automat de un program informatic