Matthias Dorfer
Matthias Dorfer
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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
Deep linear discriminant analysis
M Dorfer, R Kelz, G Widmer
arXiv preprint arXiv:1511.04707, 2015
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
The receptive field as a regularizer in deep convolutional neural networks for acoustic scene classification
K Koutini, H Eghbal-Zadeh, M Dorfer, G Widmer
2019 27th European signal processing conference (EUSIPCO), 1-5, 2019
Drum Transcription via Joint Beat and Drum Modeling Using Convolutional Recurrent Neural Networks.
R Vogl, M Dorfer, G Widmer, P Knees
ISMIR, 150-157, 2017
Acoustic scene classification with fully convolutional neural networks and I-vectors
M Dorfer, B Lehner, H Eghbal-zadeh, H Christop, P Fabian, W Gerhard
Proceedings of the detection and classification of acoustic scenes and events, 2018
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
Cross-modal music retrieval and applications: An overview of key methodologies
M Müller, A Arzt, S Balke, M Dorfer, G Widmer
IEEE Signal Processing Magazine 36 (1), 52-62, 2018
Learning audio–sheet music correspondences for cross-modal retrieval and piece identification
M Dorfer, J Hajič Jr, A Arzt, H Frostel, G Widmer
Transactions of the International Society for Music Information Retrieval 1 (1), 2018
Downbeat Tracking Using Beat Synchronous Features with Recurrent Neural Networks.
F Krebs, S Böck, M Dorfer, G Widmer
ISMIR, 129-135, 2016
Towards score following in sheet music images
M Dorfer, A Arzt, G Widmer
arXiv preprint arXiv:1612.05050, 2016
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, 117-128, 2018
Learning audio-sheet music correspondences for score identification and offline alignment
M Dorfer, A Arzt, G Widmer
arXiv preprint arXiv:1707.09887, 2017
Recurrent Neural Networks for Drum Transcription.
R Vogl, M Dorfer, P Knees
ISMIR, 730-736, 2016
Drum transcription from polyphonic music with recurrent neural networks
R Vogl, M Dorfer, P Knees
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
Align-rudder: Learning from few demonstrations by reward redistribution
VP Patil, M Hofmarcher, MC Dinu, M Dorfer, PM Blies, J Brandstetter, ...
arXiv preprint arXiv:2009.14108, 2020
Towards Full-Pipeline Handwritten OMR with Musical Symbol Detection by U-Nets.
J Hajic Jr, M Dorfer, G Widmer, P Pecina
ISMIR, 225-232, 2018
Learning to listen, read, and follow: Score following as a reinforcement learning game
M Dorfer, F Henkel, G Widmer
arXiv preprint arXiv:1807.06391, 2018
Training General-Purpose Audio Tagging Networks with Noisy Labels and Iterative Self-Verification
M Dorfer, G Widmer
Detection and Classification of Acoustic Scenes and Events 2018 Workshop …, 2018
A hybrid approach with multi-channel i-vectors and convolutional neural networks for acoustic scene classification
H Eghbal-zadeh, B Lehner, M Dorfer, G Widmer
2017 25th European Signal Processing Conference (EUSIPCO), 2749-2753, 2017
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