Drum Stroke Computing: Multimodal Signal Processing for Drum Stroke Identification and Performance Metrics

Jordan Hochenbaum, and Ajay Kapur

Proceedings of the International Conference on New Interfaces for Musical Expression

  • Year: 2012
  • Location: Ann Arbor, Michigan
  • Keywords: Multimodality, Drum stroke identification, surrogate sensors, surrogate data training, machine learning, music information retrieval, performance metrics
  • DOI: 10.5281/zenodo.1178287 (Link to paper)
  • PDF link

Abstract:

In this paper we present a multimodal system for analyzing drum performance. In the first example we perform automatic drum hand recognition utilizing a technique for automatic labeling of training data using direct sensors, and only indirect sensors (e.g. a microphone) for testing. Left/Right drum hand recognition is achieved with an average accuracy of 84.95% for two performers. Secondly we provide a study investigating multimodality dependent performance metrics analysis.

Citation:

Jordan Hochenbaum, and Ajay Kapur. 2012. Drum Stroke Computing: Multimodal Signal Processing for Drum Stroke Identification and Performance Metrics. Proceedings of the International Conference on New Interfaces for Musical Expression. DOI: 10.5281/zenodo.1178287

BibTeX Entry:

  @inproceedings{Hochenbaum2012,
 abstract = {In this paper we present a multimodal system for analyzing drum performance. In the first example we perform automatic drum hand recognition utilizing a technique for automatic labeling of training data using direct sensors, and only indirect sensors (e.g. a microphone) for testing. Left/Right drum hand recognition is achieved with an average accuracy of 84.95% for two performers. Secondly we provide a study investigating multimodality dependent performance metrics analysis.},
 address = {Ann Arbor, Michigan},
 author = {Jordan Hochenbaum and Ajay Kapur},
 booktitle = {Proceedings of the International Conference on New Interfaces for Musical Expression},
 doi = {10.5281/zenodo.1178287},
 issn = {2220-4806},
 keywords = {Multimodality, Drum stroke identification, surrogate sensors, surrogate data training, machine learning, music information retrieval, performance metrics},
 publisher = {University of Michigan},
 title = {Drum Stroke Computing: Multimodal Signal Processing for Drum Stroke Identification and Performance Metrics},
 url = {http://www.nime.org/proceedings/2012/nime2012_82.pdf},
 year = {2012}
}