Electric-to-acoustic pickup processing for string instruments: An experimental study of the guitar with a hexaphonic pickup.


Journal

The Journal of the Acoustical Society of America
ISSN: 1520-8524
Titre abrégé: J Acoust Soc Am
Pays: United States
ID NLM: 7503051

Informations de publication

Date de publication:
Jul 2021
Historique:
entrez: 3 8 2021
pubmed: 4 8 2021
medline: 4 8 2021
Statut: ppublish

Résumé

A signal processing method to impart the response of an acoustic string instrument to an electric instrument that includes frequency-dependent string decay alterations is proposed. This type of processing is relevant when trying to make a less resonant instrument, such as an electric guitar, sound similar to a more resonant instrument, such as acoustic guitar. Unlike previous methods which typically only perform equalization, our method includes detailed physics-based string damping changes by using a time-varying filter which adds frequency-dependent exponential damping. Efficient digital filters are fit to bridge admittance measurements of an acoustic instrument and used to create equalization filters as well as damping correction filters. The damping correction filters are designed to work in real-time as they are triggered by onset and pitch detection of the signal measured through an under-saddle pickup to determine the intensity of the damping. A test case is presented in which an electric guitar is processed to model a measured acoustic guitar.

Identifiants

pubmed: 34340520
doi: 10.1121/10.0005540
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

385

Auteurs

Mark Rau (M)

Center for Computer Research in Music and Acoustics (CCRMA), Stanford University, Stanford, California 94305, USA.

Jonathan S Abel (JS)

Center for Computer Research in Music and Acoustics (CCRMA), Stanford University, Stanford, California 94305, USA.

Doug James (D)

Computer Science, Stanford University, Stanford, California 94305, USA.

Julius O Smith (JO)

Center for Computer Research in Music and Acoustics (CCRMA), Stanford University, Stanford, California 94305, USA.

Classifications MeSH