A Study of Multimodal Guitar Augmentation for Gestural Expressivity

Although the electric guitar has widely been valued as a vehicle for musical expression, many of the efforts that have been carried out to bring the instrument up to date with the era of digital music fail to capture that richness. Attempts at creating interfaces based on the guitar using either sensors or analysis of the sound produced by the instrument have been carried out in the past but, given the complexity of the analysis of musical gestures and the translation of expressive meaning, these methods have never been widely adopted.
With this research we propose to validate an augmented instrument prototype based on a guitar with sensors and an hexaphonic pickup to detect different kinds of string bending, a technique commonly used by guitarist to raise the pitch of the
string to add articulation to their playing. This gesture has been popularly said to provide singing and talking qualities to guitar playing.
We will extract information from both the audio signals produced by the instrument and sensors that detect string movement to obtain enhanced information enhanced information on how guitarists use this resource.

Faculty Supervisor:

Marcelo Wanderley

Student:

Partner:

Queen Mary, University of London

Discipline:

Engineering

Sector:

Technology; Entertainment and Media; Other

University:

McGill University

Program: