activity
20232025
most citedFrom Words to Music: A Study of Subword Tokenization Techniques in Symbolic Music Generation

3 citations · 11 across the 12 of their papers we have counts for

collaborators
Showing cs.SDShow all

11 papers · 1 filter

cs.SD2025

GuitarFlow: Realistic Electric Guitar Synthesis From Tablatures via Flow Matching and Style Transfer

Jackson Loth, Pedro Sarmento, Mark Sandler +1

Music generation in the audio domain using artificial intelligence (AI) has witnessed steady progress in recent years. However for some instruments, particularly the guitar, contro…

cs.SD2025

GOAT: A Large Dataset of Paired Guitar Audio Recordings and Tablatures

Jackson Loth, Pedro Sarmento, Saurjya Sarkar +3

In recent years, the guitar has received increased attention from the music information retrieval (MIR) community driven by the challenges posed by its diverse playing techniques a…

cs.SD2025★ 2 cited

The GigaMIDI Dataset with Features for Expressive Music Performance Detection

Keon Ju Maverick Lee, Jeff Ens, Sara Adkins +3

The Musical Instrument Digital Interface (MIDI), introduced in 1983, revolutionized music production by allowing computers and instruments to communicate efficiently. MIDI files en…

cs.SD2024★ 1 cited

MIDI-to-Tab: Guitar Tablature Inference via Masked Language Modeling

Drew Edwards, Xavier Riley, Pedro Sarmento +1

Guitar tablatures enrich the structure of traditional music notation by assigning each note to a string and fret of a guitar in a particular tuning, indicating precisely where to p…

cs.SD2024★ 1 cited

Between the AI and Me: Analysing Listeners' Perspectives on AI- and Human-Composed Progressive Metal Music

Pedro Sarmento, Jackson Loth, Mathieu Barthet

Generative AI models have recently blossomed, significantly impacting artistic and musical traditions. Research investigating how humans interact with and deem these models is ther…

cs.SD2024

MoodLoopGP: Generating Emotion-Conditioned Loop Tablature Music with Multi-Granular Features

Wenqian Cui, Pedro Sarmento, Mathieu Barthet

Loopable music generation systems enable diverse applications, but they often lack controllability and customization capabilities. We argue that enhancing controllability can enric…

cs.SD2023★ 1 cited

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…

cs.SD2023★ 1 cited

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…

cs.SD2023★ 3 cited

From Words to Music: A Study of Subword Tokenization Techniques in Symbolic Music Generation

Adarsh Kumar, Pedro Sarmento

Subword tokenization has been widely successful in text-based natural language processing (NLP) tasks with Transformer-based models. As Transformer models become increasingly popul…

cs.SD2023★ 1 cited

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…

cs.SD2023★ 1 cited

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…