| 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 | 205 | 2016 |
| Deep linear discriminant analysis M Dorfer, R Kelz, G Widmer arXiv preprint arXiv:1511.04707, 2015 | 175 | 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 | 166 | 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 | 121 | 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 | 87 | 2017 |
| 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 | 77 | 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 | 73 | 2018 |
| 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 | 69 | 2018 |
| Learning Audio-Sheet Music Correspondences for Cross-Modal Retrieval and Piece Identification. M Dorfer, J Hajic Jr, A Arzt, H Frostel, G Widmer Trans. Int. Soc. Music. Inf. Retr. 1 (1), 22-31, 2018 | 64 | 2018 |
| Towards score following in sheet music images M Dorfer, A Arzt, G Widmer arXiv preprint arXiv:1612.05050, 2016 | 61 | 2016 |
| Downbeat Tracking Using Beat Synchronous Features with Recurrent Neural Networks. F Krebs, S Böck, M Dorfer, G Widmer ISMIR, 129-135, 2016 | 61 | 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 | 56 | 2018 |
| Learning audio-sheet music correspondences for score identification and offline alignment M Dorfer, A Arzt, G Widmer arXiv preprint arXiv:1707.09887, 2017 | 54 | 2017 |
| Recurrent Neural Networks for Drum Transcription. R Vogl, M Dorfer, P Knees ISMIR, 730-736, 2016 | 51 | 2016 |
| 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 | 48 | 2020 |
| 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 | 44 | 2017 |
| 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 | 41 | 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 | 41 | 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 | 35 | 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 | 35 | 2017 |
