Gerhard Widmer
Univ.Prof. Dipl.-Ing. Dr.
Research Areas
- machine learning, qualitative modeling, AI&music
Role
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Affiliated
Databases and Artificial Intelligence, E192-02
Publications
- A Review of Automatic Drum Transcription / Wu, C.-W., Dittmar, C., Southall, C., Vogl, R., Widmer, G., Hockman, J., Müller, M., & Lerch, A. (2018). A Review of Automatic Drum Transcription. IEEE/ACM Transactions on Audio, Speech and Language Processing, 26(9), 1457–1483. https://doi.org/10.1109/taslp.2018.2830113
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Towards Multi-Instrument Drum Transcription
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Vogl, R., Widmer, G., & Knees, P. (2018). Towards Multi-Instrument Drum Transcription. In Proceedings of the 21st International Conference on Digital Audio Effects (DAFx-18) (pp. 57–64). http://hdl.handle.net/20.500.12708/57451
Project: SmarterJam (2017–2019) -
A GAN based Drum Pattern Generation UI Prototype
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Eghbal-Zadeh, H., Vogl, R., Widmer, G., & Knees, P. (2018). A GAN based Drum Pattern Generation UI Prototype. In 19th International Society for Music Information Retrieval Conference: Late-Breaking Demos Session (p. 2). http://hdl.handle.net/20.500.12708/57452
Project: SmarterJam (2017–2019) -
GANs and Poses: An Interactive Generative Music Installation Controlled by Dance Moves
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Vogl, R., Eghbal-Zadeh, H., Widmer, G., & Knees, P. (2018). GANs and Poses: An Interactive Generative Music Installation Controlled by Dance Moves. In 19th International Society for Music Information Retrieval Conference: Interactive Machine-Learning for Music @Exhibition (p. 5). http://hdl.handle.net/20.500.12708/57453
Project: SmarterJam (2017–2019) -
Drum Transcription via Joint Beat and Drum Modeling Using Convolutional Recurrent Neural Networks
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Vogl, R., Dorfer, M., Widmer, G., & Knees, P. (2017). Drum Transcription via Joint Beat and Drum Modeling Using Convolutional Recurrent Neural Networks. In Proceedings of the 18th International Society for Music Information Retrieval Conference (pp. 150–157). http://hdl.handle.net/20.500.12708/57031
Project: SmarterJam (2017–2019) -
MIREX Submission for Drum Transcription 2017
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Vogl, R., Dorfer, M., Widmer, G., & Knees, P. (2017). MIREX Submission for Drum Transcription 2017. In 13th Music Information Retrieval Evaluation eXchange (MIREX 2017) (p. 1). International Music Information Retrieval Systems Evaluation Laboratory, School of Information Sciences, University of Illinois at Urbana-Champaign. http://hdl.handle.net/20.500.12708/57649
Project: SmarterJam (2017–2019)
Supervisions
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Automatic generation of solo-guitar arrangements from lead sheets
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Moreau, A. (2010). Automatic generation of solo-guitar arrangements from lead sheets [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://resolver.obvsg.at/urn:nbn:at:at-ubtuw:1-40047
Download: PDF (1.93 MB) -
Distance based learning in a relational setting and its application to expressive music performance
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Tobudic, A. (2008). Distance based learning in a relational setting and its application to expressive music performance [Dissertation, Technische Universität Wien]. reposiTUm. https://resolver.obvsg.at/urn:nbn:at:at-ubtuw:1-15317
Download: PDF (3.24 MB) - Interactive visualization of expressive piano performance / Gasser, M. (2005). Interactive visualization of expressive piano performance [Diploma Thesis, Technische Universität Wien]. reposiTUm. http://hdl.handle.net/20.500.12708/184472
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Automatische Klassifikation von Musikkünstlern basierend auf Web-Daten
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Knees, P. (2004). Automatische Klassifikation von Musikkünstlern basierend auf Web-Daten [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://resolver.obvsg.at/urn:nbn:at:at-ubtuw:1-12836
Download: PDF (606 KB) - Towards understanding stacking : studies of a general ensemble learning scheme / Seewald, A. K. (2003). Towards understanding stacking : studies of a general ensemble learning scheme [Dissertation, Technische Universität Wien]. reposiTUm. http://hdl.handle.net/20.500.12708/185790