A Component-Based Approach for Modeling Plucked-Guitar Excitation Signals
| Main Authors: | Migneco, Raymond, Kim, Youngmoo |
|---|---|
| Format: | Proceeding eJournal |
| Terbitan: |
, 2012
|
| Online Access: |
https://zenodo.org/record/1180541 |
Daftar Isi:
- 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.