2 citations · 3 across the 5 of their papers we have counts for
5 papers
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…
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…
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…
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…