LEAD GUITAR

A Proposition 65 Risk Evaluation of Lead in @@ Guitar Strings

Multimodal Guitar: A Toolbox For Augmented Guitar Performances

This project aims at studying how recent interactive and interactions technologies would help extend how we play the guitar, thus defining the “multimodal guitar”. Our contributions target three main axes: audio analysis, gestural control and audio synthesis. For this purpose, we designed and developed a freely-available toolbox for augmented guitar performances, compliant with the PureData and...

Automatic String Detection for Bass Guitar and Electric Guitar

In this paper, we present a feature-based approach to automatically estimate the string number in recordings of the bass guitar and the electric guitar. We perform different experiments to evaluate the classification performance on isolated note recordings. First, we analyze how factors such as the instrument, the playing style, and the pick-up settings affect the performance of the classificat...

Automatic Phrase Continuation from Guitar and Bass Guitar Melodies

A framework is proposed for generating interesting, and musically similar variations of a givenmonophonic melody. The focus is on rock/pop guitar and bass-guitar melodies with the aim of eventual extensions to other instruments and musical styles. It is demonstrated here how learning musical style from segmented audio data can be formulated as an unsupervised learning problem to generate a symb...

The Chameleon Guitar—Guitar with a Replaceable Resonator

Each acoustic instrument is one of a kind. Its unique acoustic properties are transferred from the physical characteristics of its source materials and a handcrafted touch. In contrast, electronic and computer-based instruments lack this distinguishing trait. Though the technology support in music instruments offers great flexibility, it tends to foster predictable and generic results, particul...