Matthias Dorfer
Matthias Dorfer
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Zitiert von
Zitiert von
Jahr
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
1602016
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
902016
Deep linear discriminant analysis
M Dorfer, R Kelz, G Widmer
arXiv preprint arXiv:1511.04707, 2015
772015
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
392018
Downbeat Tracking Using Beat Synchronous Features with Recurrent Neural Networks.
F Krebs, S Böck, M Dorfer, G Widmer
ISMIR, 129-135, 2016
392016
Towards score following in sheet music images
M Dorfer, A Arzt, G Widmer
arXiv preprint arXiv:1612.05050, 2016
372016
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
342017
Recurrent Neural Networks for Drum Transcription.
R Vogl, M Dorfer, P Knees
ISMIR, 730-736, 2016
272016
Learning audio-sheet music correspondences for score identification and offline alignment
M Dorfer, A Arzt, G Widmer
arXiv preprint arXiv:1707.09887, 2017
252017
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
242018
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
242017
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
212018
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
202019
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
202018
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
202018
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
202017
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
192018
Creating a large-scale silver corpus from multiple algorithmic segmentations
M Krenn, M Dorfer, OAJ del Toro, H Müller, B Menze, MA Weber, ...
International MICCAI Workshop on Medical Computer Vision, 103-115, 2015
192015
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
182018
Classifying short acoustic scenes with I-vectors and CNNs: Challenges and optimisations for the 2017 DCASE ASC task
B Lehner, H Eghbal-Zadeh, M Dorfer, F Korzeniowski, K Koutini, ...
DCASE2017 Challenge, 2017
182017
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