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conducting_music_-_mapping_movements_to_measures [2014/10/26 04:34] harald |
conducting_music_-_mapping_movements_to_measures [2014/10/26 05:21] (current) superbock |
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====== Conducting Music - Mapping Movements to Measures ====== | ====== Conducting Music - Mapping Movements to Measures ====== | ||
- | | Authors | Harald Grohganz, Sebastian Boeck, and Sebastian Stober | | + | | Authors | Harald Grohganz, Sebastian Böck, and Sebastian Stober | |
- | | Affiliation | University of Bonn, Johannes-Kepler-Universität Linz, Western University London (Ontario) | | + | | Affiliation | University of Bonn, Johannes Kepler University Linz, Western University London (Ontario) | |
- | | Code | [[https://github.com/github/dmca|Github Link]] | | + | | Code | [[https://github.com/superbock/HAMR2014|Github Link]] | |
- | We propose a cool new technique | + | In this project, we contributed some Machine Learning techniques which may lead to an advanced "conductible" MIDI player. At the end, this player might provide tempo control by hand gestures in real-time. |
- | ===== A section ===== | ||
- | You can write math: | + | ===== Interface ===== |
- | A footnote or reference looks like this((Mastering is the process of applying equalization, compression, reverb, and other nonlinearities to an audio recording to improve it sound.)). You can also include images: | + | The interface mainly consists of a MIDI player which provides the actual position within each measure during playback. To detect the conductor's movement, we use Dense Optical Flow - hence it is not necessary to track a conductor's hand or baton. This is some previous work, written entirely in Java. |
+ | |||
+ | Our goals at HAMR: | ||
+ | * Test some movement features. | ||
+ | * Estimate the conductor's position in measure. | ||
+ | |||
+ | Future work: | ||
+ | * Compare both positions in measure to estimate the tempo change rate. | ||
{{::democonducting.png|}} | {{::democonducting.png|}} | ||
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+ | |||
+ | ===== The Model ===== | ||
+ | |||
+ | Will be presented. |