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

Migneco, Raymond and Kim, Youngmoo

Proceedings of the International Conference on New Interfaces for Musical Expression

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.