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
- Year: 2012
- Location: Ann Arbor, Michigan
- Keywords: Source-filter models, musical instrument synthesis, PCA, touch musical interfaces
- DOI: 10.5281/zenodo.1180541 (Link to paper)
- PDF link
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} }