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Richard Vogl
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2020 – today
- 2023
- [c10]Igor Pereira, Felipe Araújo, Filip Korzeniowski, Richard Vogl:
MoisesDB: A Dataset for Source Separation Beyond 4-Stems. ISMIR 2023: 619-626 - [i2]Igor Pereira, Felipe Araújo, Filip Korzeniowski, Richard Vogl:
Moisesdb: A dataset for source separation beyond 4-stems. CoRR abs/2307.15913 (2023) - 2022
- [c9]Maximilian Damböck, Richard Vogl, Peter Knees:
On the Impact and Interplay of Input Representations and Network Architectures for Automatic Music Tagging. ISMIR 2022: 941-948 - [c8]Damjan Prvulovic, Richard Vogl, Peter Knees:
ReStyle-MusicVAE: Enhancing User Control of Deep Generative Music Models with Expert Labeled Anchors. UMAP (Adjunct Publication) 2022: 63-66
2010 – 2019
- 2019
- [c7]Richard Vogl, Hamid Eghbal-Zadeh, Peter Knees:
An automatic drum machine with touch UI based on a generative neural network. IUI Companion 2019: 91-92 - 2018
- [j1]Chih-Wei Wu, Christian Dittmar, Carl Southall, Richard Vogl, Gerhard Widmer, Jason Hockman, Meinard Müller, Alexander Lerch:
A Review of Automatic Drum Transcription. IEEE ACM Trans. Audio Speech Lang. Process. 26(9): 1457-1483 (2018) - [i1]Richard Vogl, Gerhard Widmer, Peter Knees:
Towards multi-instrument drum transcription. CoRR abs/1806.06676 (2018) - 2017
- [c6]Richard Vogl, Matthias Dorfer, Peter Knees:
Drum transcription from polyphonic music with recurrent neural networks. ICASSP 2017: 201-205 - [c5]Richard Vogl, Matthias Dorfer, Gerhard Widmer, Peter Knees:
Drum Transcription via Joint Beat and Drum Modeling Using Convolutional Recurrent Neural Networks. ISMIR 2017: 150-157 - [c4]Richard Vogl, Peter Knees:
An intelligent drum machine for electronic dance music production and performance. NIME 2017: 251-256 - 2016
- [c3]Richard Vogl, Matthias Dorfer, Peter Knees:
Recurrent Neural Networks for Drum Transcription. ISMIR 2016: 730-736 - [c2]Richard Vogl, Peter Knees:
An Intelligent Musical Rhythm Variation Interface. IUI Companion 2016: 88-91 - 2015
- [c1]Peter Knees, Ángel Faraldo, Perfecto Herrera, Richard Vogl, Sebastian Böck, Florian Hörschläger, Mickael Le Goff:
Two Data Sets for Tempo Estimation and Key Detection in Electronic Dance Music Annotated from User Corrections. ISMIR 2015: 364-370
Coauthor Index
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