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Electric-to-acoustic pickup processing for string instruments: An experimental study of the guitar with a hexaphonic
Mark Rau1, Jonathan S Abel1, Doug James2
1Center for Computer Research in Music and Acoustics (CCRMA), Stanford University, Stanford, California 94305, USA.
This study introduces a novel signal processing method to make electric guitars sound like acoustic guitars by simulating frequency-dependent string decay. The technique uses physics-based damping filters for realistic acoustic instrument modeling.
Area of Science:
- Music Technology
- Acoustics
- Digital Signal Processing
Background:
- Electric instruments often lack the resonant qualities of acoustic instruments.
- Previous methods primarily used equalization, failing to capture nuanced acoustic characteristics.
Purpose of the Study:
- To develop a signal processing method that accurately simulates acoustic string instrument responses on electric instruments.
- To implement frequency-dependent string decay alterations for enhanced realism.
Main Methods:
- Utilized physics-based string damping changes via time-varying filters with frequency-dependent exponential damping.
- Employed efficient digital filters fitted to acoustic instrument admittance measurements.
- Developed real-time damping correction filters triggered by onset and pitch detection.
Main Results:
- Successfully modeled an acoustic guitar's sound using an electric guitar with the proposed processing.
- Demonstrated the effectiveness of frequency-dependent damping filters in achieving acoustic realism.
Conclusions:
- The proposed signal processing method effectively imparts acoustic string instrument characteristics to electric instruments.
- Physics-based damping simulation offers a significant improvement over traditional equalization techniques for instrument modeling.
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