Richard Vogl
Projektass.(FWF) Dipl.-Ing. Dr.techn. / Bakk.techn.
Role
-
PostDoc Researcher
Data Science, E194-04
Courses
2022W
- Data-oriented Programming Paradigms / 188.995 / VU
- Experiment Design for Data Science / 188.992 / VU
- Intelligent Audio and Music Analysis / 194.039 / VU
Projects
Publications
Note: Due to the rollout of TU Wien’s new publication database, the list below may be slightly outdated. Once the migration is complete, everything will be up to date again.
- ReStyle-MusicVAE: Enhancing User Control of Deep Generative Music Models with Expert Labeled Anchors / Prvulovic, D., Vogl, R., & Knees, P. (2022). ReStyle-MusicVAE: Enhancing User Control of Deep Generative Music Models with Expert Labeled Anchors. In A. Bellogin, L. Boratto, O. C. Santos, L. Ardissono, & B. Knijnenburg (Eds.), Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization (pp. 63–66). Association for Computing Machinery. https://doi.org/10.1145/3511047.3536412 / Project: HumRec
- Recommenders and Intelligent Tools in Music Creation: Why, Why Not, and How? / Bauer, C., Knees, P., Vogl, R., & Raber, H. (2019). Recommenders and Intelligent Tools in Music Creation: Why, Why Not, and How? Ars Electronica 2019 - AIxMusic Workshops, Linz, Austria. http://hdl.handle.net/20.500.12708/87008
- An automatic drum machine with touch UI based on a generative neural network / Vogl, R., Eghbal-Zadeh, H., & Knees, P. (2019). An automatic drum machine with touch UI based on a generative neural network. In Proceedings of the 24th International Conference on Intelligent User Interfaces: Companion. 24th International Conference on Intelligent User Interfaces, Marina del Rey, CA, USA, Non-EU. ACM. https://doi.org/10.1145/3308557.3308673
- 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
- From Drum Transcription to Drum Pattern Generation / Vogl, R. (2018). From Drum Transcription to Drum Pattern Generation. 1st Austrian Music Information Retrieval Workshop (AMIR), Vienna and Linz, Austria, Austria. http://hdl.handle.net/20.500.12708/86739
- Drum transcription via joint beat and drum modeling using convolutional recurrent neural networks / Vogl, R. (2018). Drum transcription via joint beat and drum modeling using convolutional recurrent neural networks. 21st Vienna Deep Learning Meetup, Vienna Austria, EU. http://hdl.handle.net/20.500.12708/86738
- GANs and Poses: An Interactive Generative Music Installation Controlled by Dance Moves / 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
- A GAN based Drum Pattern Generation UI Prototype / 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
- Towards Multi-Instrument Drum Transcription / 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
- MIREX Submission for Drum Transcription 2018 / Vogl, R., & Knees, P. (2018). MIREX Submission for Drum Transcription 2018. In 14th Music Information Retrieval Evaluation eXchange (MIREX 2018) (p. 2). International Music Information Retrieval Systems Evaluation Laboratory, School of Information Sciences, University of Illinois at Urbana-Champaign. http://hdl.handle.net/20.500.12708/56721 / Project: SmarterJam
- Music Information Retrieval for Creative Audio Production / Knees, P., & Vogl, R. (2017). Music Information Retrieval for Creative Audio Production. i2c Networking Friday 2017, TU Wien, Austria. http://hdl.handle.net/20.500.12708/86649
- MIREX Submission for Drum Transcription 2017 / 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
- Drum transcription from polyphonic music with recurrent neural networks / Vogl, R., Dorfer, M., & Knees, P. (2017). Drum transcription from polyphonic music with recurrent neural networks. In 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), New Orleans, LA, USA, Non-EU. https://doi.org/10.1109/icassp.2017.7952146 / Project: SmarterJam
- An Intelligent Drum Machine for Electronic Dance Music Production and Performance / Vogl, R., & Knees, P. (2017). An Intelligent Drum Machine for Electronic Dance Music Production and Performance. In Proceedings of the 17th International Conference on New Interfaces for Musical Expression (pp. 231–236). http://hdl.handle.net/20.500.12708/57033 / Project: SmarterJam
- Drum Transcription via Joint Beat and Drum Modeling Using Convolutional Recurrent Neural Networks / 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
Supervisions
Note: Due to the rollout of TU Wien’s new publication database, the list below may be slightly outdated. Once the migration is complete, everything will be up to date again.
- Audio effect modeling with deep learning methods / Bognár, P. (2022). Audio effect modeling with deep learning methods [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2022.94860