Jan Schlüter
Cited by
Cited by
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
Deep learning for audio signal processing
H Purwins, B Li, T Virtanen, J Schlüter, SY Chang, T Sainath
IEEE Journal of Selected Topics in Signal Processing 13 (2), 206-219, 2019
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
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
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
Efficient Training of Audio Transformers with Patchout
K Koutini, J Schlüter, H Eghbal-zadeh, G Widmer
arXiv preprint arXiv:2110.05069, 2021
Boundary Detection in Music Structure Analysis using Convolutional Neural Networks.
K Ullrich, J Schlüter, T Grill
ISMIR, 417-422, 2014
Two convolutional neural networks for bird detection in audio signals
T Grill, J Schlüter
Proceedings of the 25th European Signal Processing Conference (EUSIPCO), 2017
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
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 MIREX Meta-analysis of Hubness in Audio Music Similarity.
A Flexer, D Schnitzer, J Schlüter
ISMIR, 175-180, 2012
End-to-end cross-modality retrieval with CCA projections and pairwise ranking loss
M Dorfer, J Schlüter, A Vall, F Korzeniowski, G Widmer
International Journal of Multimedia Information Retrieval 7 (2), 117-128, 2018
Music similarity estimation with the mean-covariance restricted boltzmann machine
J Schlüter, C Osendorfer
Machine Learning and Applications and Workshops (ICMLA), 2011 10th …, 2011
Audio-Based Music Structure Analysis: Current Trends, Open Challenges, and Applications
O Nieto, GJ Mysore, C Wang, JBL Smith, J Schlüter, T Grill, B McFee
Transactions of the International Society for Music Information Retrieval 3 (1), 2020
Online, loudness-invariant vocal detection in mixed music signals
B Lehner, J Schlüter, G Widmer
IEEE/ACM Transactions on Audio, Speech, and Language Processing 26 (8), 1369 …, 2018
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
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
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