Conference proceeding
MODELING PLUCKED GUITAR TONES VIA JOINT SOURCE-FILTER ESTIMATION
2011 IEEE DIGITAL SIGNAL PROCESSING WORKSHOP AND IEEE SIGNAL PROCESSING EDUCATION WORKSHOP (DSP/SPE), pp.128-133
01 Jan 2011
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Physical models for plucked string instruments can produce high-quality tones using a computationally efficient implementation, but the estimation of model parameters through the analysis of audio remains problematic. Moreover, an accurate representation of the expressive aspects of a performance requires a separation of the performer's articulation (source) from the instrument's response (filter). This paper explores a physically-inspired signal model for plucked guitar sounds that facilitates the estimation of both string excitation and resonance parameters simultaneously. We present the application of the joint source-filter model in an analysis-synthesis framework to plucked-guitar recordings, and we demonstrate that our system is particularly adept at capturing and replicating the characteristic sounds resulting from various plucking styles. By explicitly modeling string articulations, we believe this system provides insight towards capturing the expressive intentions of a performer from the audio signal alone.
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Details
- Title
- MODELING PLUCKED GUITAR TONES VIA JOINT SOURCE-FILTER ESTIMATION
- Creators
- Raymond V. Migneco - Drexel Univ Philadelphia, Dept Elect & Comp Engn, Philadelphia, PA 19104 USAYoungmoo E. Kim - Drexel Univ Philadelphia, Dept Elect & Comp Engn, Philadelphia, PA 19104 USAIEEE
- Publication Details
- 2011 IEEE DIGITAL SIGNAL PROCESSING WORKSHOP AND IEEE SIGNAL PROCESSING EDUCATION WORKSHOP (DSP/SPE), pp.128-133
- Conference
- 2011 IEEE DIGITAL SIGNAL PROCESSING WORKSHOP AND IEEE SIGNAL PROCESSING EDUCATION WORKSHOP (DSP/SPE)
- Publisher
- IEEE
- Number of pages
- 6
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Identifiers
- 991019170408604721
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- Web of Science research areas
- Engineering, Electrical & Electronic