Correlations between body postures and musculoskeletal pain in guitar players.
PLoS ONE, 2022 BackgroundThe guitar-playing community is the largest group at risk of developing playing related musculoskeletal disorders. A thorough investigation of the relationships between the various risk factors and players' report on musculoskeletal pain using ...
Sigal Portnoy +2 more
doaj +4 more sources
A Cross-over Pilot Study on the Effects of Classical Guitar Instruction on Motor and Non-Motor Symptoms in People with Parkinson’s Disease [PDF]
Neuroscience InsightsBackground: A previous randomized pre-post cross-over study with 26 participants found positive changes in motor and non-motor symptoms in people with Parkinson’s disease (PwPD) after six weeks of group classical guitar sessions but not customary and ...
Christopher Adams, Greg Fulton
doaj +2 more sources
Validity and reliability of a finger training tool for assessing metacarpal phalangeal joint ranges of motion in asymptomatic participants [PDF]
Scientific ReportsThis pilot study aims to evaluate concurrent validity using the goniometer as a reference tool and test–retest reliability of flexion of metacarpal phalangeal joint (MCP) measurements taken from a finger training device (air-guitar system) in healthy ...
P. Kuvijitsuwan +7 more
doaj +2 more sources
An ubiquitous smart guitar system for collaborative musical practice
Journal of New Music Research, 2019 Ubiquitous music (UbiMus) proposes to study how social interaction with mobile and distributed technologies can converge to form novel creativity support tools and music artistic practices.
Luca Turchet, Mathieu Barthet
exaly +2 more sources
AR Graphic Representation of Musical Notes for Self-Learning on Guitar
Applied Sciences (Switzerland), 2019 Despite being one of the most commonly self-taught instruments, and despite the ready availability of significant amounts of didactic material, the guitar is a challenging instrument to learn. This paper proposes an application based on augmented reality
Marta Sylvia Del Rio Guerra +2 more
exaly +2 more sources
GTR-CTRL: Instrument and Genre Conditioning for Guitar-Focused Music Generation with Transformers [PDF]
EvoMUSART@EvoStar, 2023 Recently, symbolic music generation with deep learning techniques has witnessed steady improvements. Most works on this topic focus on MIDI representations, but less attention has been paid to symbolic music generation using guitar tablatures (tabs ...
Pedro Sarmento +5 more
semanticscholar +1 more source
SynthTab: Leveraging Synthesized Data for Guitar Tablature Transcription [PDF]
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2023 Guitar tablature is a form of music notation widely used among guitarists. It captures not only the musical content of a piece, but also its implementation and ornamentation on the instrument.
Yongyi Zang +3 more
semanticscholar +1 more source
End-to-End Amp Modeling: from Data to Controllable Guitar Amplifier Models [PDF]
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2023 This paper describes a data-driven approach to creating real-time neural network models of guitar amplifiers, recreating the amplifiers’ sonic response to arbitrary inputs at the full range of controls present on the physical device.
Lauri Juvela +7 more
semanticscholar +1 more source
Towards Automatic Transcription of Polyphonic Electric Guitar Music: A New Dataset and a Multi-Loss Transformer Model [PDF]
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2022 In this paper, we propose a new dataset named EGDB, that contains transcriptions of the electric guitar performance of 240 tablatures rendered with different tones.
Yu-Hua Chen +4 more
semanticscholar +1 more source
Adversarial Guitar Amplifier Modelling with Unpaired Data [PDF]
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2022 We propose an audio effects processing framework that learns to emulate a target electric guitar tone from a recording. We train a deep neural network using an adversarial approach, with the goal of trans-forming the timbre of a guitar, into the timbre ...
Alec Wright, V. Välimäki, Lauri Juvela
semanticscholar +1 more source