A Component-Based Approach for Modeling Plucked-Guitar Excitation Signals

Raymond Migneco, and Youngmoo Kim

Proceedings of the International Conference on New Interfaces for Musical Expression

Abstract:

Platforms for mobile computing and gesture recognitionprovide enticing interfaces for creative expression on virtualmusical instruments. However, sound synthesis on thesesystems is often limited to sample-based synthesizers, whichlimits their expressive capabilities. Source-filter models areadept for such interfaces since they provide flexible, algorithmic sound synthesis, especially in the case of the guitar.In this paper, we present a data-driven approach for modeling guitar excitation signals using principal componentsderived from a corpus of excitation signals. Using thesecomponents as features, we apply nonlinear principal components analysis to derive a feature space that describesthe expressive attributes characteristic to our corpus. Finally, we propose using the reduced dimensionality space asa control interface for an expressive guitar synthesizer.

Citation:

Raymond Migneco, and Youngmoo Kim. 2012. A Component-Based Approach for Modeling Plucked-Guitar Excitation Signals. Proceedings of the International Conference on New Interfaces for Musical Expression. DOI: 10.5281/zenodo.1180541

BibTeX Entry:

  @inproceedings{Migneco2012,
 abstract = {Platforms for mobile computing and gesture recognitionprovide enticing interfaces for creative expression on virtualmusical instruments. However, sound synthesis on thesesystems is often limited to sample-based synthesizers, whichlimits their expressive capabilities. Source-filter models areadept for such interfaces since they provide flexible, algorithmic sound synthesis, especially in the case of the guitar.In this paper, we present a data-driven approach for modeling guitar excitation signals using principal componentsderived from a corpus of excitation signals. Using thesecomponents as features, we apply nonlinear principal components analysis to derive a feature space that describesthe expressive attributes characteristic to our corpus. Finally, we propose using the reduced dimensionality space asa control interface for an expressive guitar synthesizer.},
 address = {Ann Arbor, Michigan},
 author = {Raymond Migneco and Youngmoo Kim},
 booktitle = {Proceedings of the International Conference on New Interfaces for Musical Expression},
 doi = {10.5281/zenodo.1180541},
 issn = {2220-4806},
 keywords = {Source-filter models, musical instrument synthesis, PCA, touch musical interfaces},
 publisher = {University of Michigan},
 title = {A Component-Based Approach for Modeling Plucked-Guitar Excitation Signals},
 url = {http://www.nime.org/proceedings/2012/nime2012_63.pdf},
 year = {2012}
}