Jan Schlüter
TitelZitiert vonJahr
Theano: A Python framework for fast computation of mathematical expressions
R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ...
arXiv preprint arXiv:1605.02688, 2016
Lasagne: first release
S Dieleman, J Schlüter, C Raffel, E Olson, SK Sønderby, D Nouri, ...
Zenodo: Geneva, Switzerland, 2015
Improved musical onset detection with convolutional neural networks
J Schlüter, S Böck
2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014
Exploring Data Augmentation for Improved Singing Voice Detection with Neural Networks
J Schlüter, T Grill
16th International Society for Music Information Retrieval Conference (ISMIR), 2015
Boundary Detection in Music Structure Analysis using Convolutional Neural Networks.
K Ullrich, J Schlüter, T Grill
ISMIR, 417-422, 2014
madmom: a new Python Audio and Music Signal Processing Library
S Böck, F Korzeniowski, J Schlüter, F Krebs, G Widmer
Proceedings of the 2016 ACM on Multimedia Conference, 1174-1178, 2016
Roadmap for music information research
X Serra, M Magas, E Benetos, M Chudy, S Dixon, A Flexer, E Gómez, ...
MIRES Consortium, 2013
Learning to Pinpoint Singing Voice from Weakly Labeled Examples
J Schlüter
ISMIR, 44-50, 2016
Musical onset detection with convolutional neural networks
J Schlüter, S Böck
6th International Workshop on Machine Learning and Music (MML), Prague …, 2013
A MIREX Meta-analysis of Hubness in Audio Music Similarity.
A Flexer, D Schnitzer, J Schlüter
ISMIR, 175-180, 2012
Music similarity estimation with the mean-covariance restricted boltzmann machine
J Schlüter, C Osendorfer
Machine Learning and Applications and Workshops (ICMLA), 2011 10th …, 2011
A naive mid-level concept-based fusion approach to violence detection in hollywood movies
B Ionescu, J Schlüter, I Mironica, M Schedl
Proceedings of the 3rd ACM conference on International conference on …, 2013
Two convolutional neural networks for bird detection in audio signals
T Grill, J Schlüter
Proceedings of the 25th European Signal Processing Conference (EUSIPCO), 2017
Music Boundary Detection Using Neural Networks on Combined Features and Two-Level Annotations
T Grill, J Schlüter
Proceedings of the 16th International Society for Music Information …, 2015
A simple and effective spectral feature for speech detection in mixed audio signals
R Sonnleitner, B Niedermayer, G Widmer, J Schlüter
Proceedings of the 15th International Conference on Digital Audio Effects …, 2012
Music boundary detection using neural networks on spectrograms and self-similarity lag matrices
T Grill, J Schluter
2015 23rd European Signal Processing Conference (EUSIPCO), 1296-1300, 2015
Unsupervised feature learning for speech and music detection in radio broadcasts
J Schlüter, R Sonnleitner
Proceedings of the 15th International Conference on Digital Audio Effects …, 2012
scikit-cuda 0.5. 1: a Python interface to GPU-powered libraries
LE Givon, T Unterthiner, NB Erichson, DW Chiang, E Larson, L Pfister, ...
December, 2015
Unsupervised audio feature extraction for music similarity estimation
J Schlüter
Technische Universität München: Master Thesis, 2011
FAR at MediaEval 2013 Violent Scenes Detection: Concept-based Violent Scenes Detection in Movies.
M Sjöberg, J Schlüter, B Ionescu, M Schedl
MediaEval, 2013
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