Talks and Poster Presentations (without Proceedings-Entry):

R. Vogl:
"Drum transcription via joint beat and drum modeling using convolutional recurrent neural networks";
Talk: 21st Vienna Deep Learning Meetup, Vienna Austria; 2018-10-15.

English abstract:
When working with Deep Learning, we sometimes face the criticism of using arbitrarily designed black-box systems. However, incorporating domain knowledge into problem modeling and network architecture can improve the performance of trained models for complex tasks. This talk demonstrates this principle in the context of automatic drum transcription, where the goal is to extract a symbolic representation of drum note onsets from an audio signal.

deep learning, audio and music processing, automatic music transcription, drum transcription

Electronic version of the publication:

Created from the Publication Database of the Vienna University of Technology.