3 citations · 7 across the 6 of their papers we have counts for
6 papers
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…
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…
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…
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…
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…