3 citations · 11 across the 12 of their papers we have counts for
6 papers · 1 filter
AI (r)evolution -- where are we heading? Thoughts about the future of music and sound technologies in the era of deep learning
Giovanni Bindi, Nils Demerlé, Rodrigo Diaz +18
Artificial Intelligence (AI) technologies such as deep learning are evolving very quickly bringing many changes to our everyday lives. To explore the future impact and potential of…
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…
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…