5 citations · 13 across the 12 of their papers we have counts for
7 papers · 1 filter
Real-time Percussive Technique Recognition and Embedding Learning for the Acoustic Guitar
Andrea Martelloni, Andrew P McPherson, Mathieu Barthet
Real-time music information retrieval (RT-MIR) has much potential to augment the capabilities of traditional acoustic instruments. We develop RT-MIR techniques aimed at augmenting…
ProgGP: From GuitarPro Tablature Neural Generation To Progressive Metal Production
Jackson Loth, Pedro Sarmento, CJ Carr +2
Recent work in the field of symbolic music generation has shown value in using a tokenization based on the GuitarPro format, a symbolic representation supporting guitar expressive…
ShredGP: Guitarist Style-Conditioned Tablature Generation
Pedro Sarmento, Adarsh Kumar, Dekun Xie +3
GuitarPro format tablatures are a type of digital music notation that encapsulates information about guitar playing techniques and fingerings. We introduce ShredGP, a GuitarPro tab…
LooperGP: A Loopable Sequence Model for Live Coding Performance using GuitarPro Tablature
Sara Adkins, Pedro Sarmento, Mathieu Barthet
Despite their impressive offline results, deep learning models for symbolic music generation are not widely used in live performances due to a deficit of musically meaningful contr…
GTR-CTRL: Instrument and Genre Conditioning for Guitar-Focused Music Generation with Transformers
Pedro Sarmento, Adarsh Kumar, Yu-Hua Chen +3
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…
DadaGP: A Dataset of Tokenized GuitarPro Songs for Sequence Models
Pedro Sarmento, Adarsh Kumar, CJ Carr +3
Originating in the Renaissance and burgeoning in the digital era, tablatures are a commonly used music notation system which provides explicit representations of instrument fingeri…
Musical Smart City: Perspectives on Ubiquitous Sonification
Pedro Sarmento, Ove Holmqvist, Mathieu Barthet
Smart cities are urban areas with sensor networks that collect data used towards efficient management. As a source of ubiquitous data, smart city initiatives present opportunities…