2 citations · 3 across the 4 of their papers we have counts for
4 papers
MIDI-GPT: A Controllable Generative Model for Computer-Assisted Multitrack Music Composition
Philippe Pasquier, Jeff Ens, Nathan Fradet +4
We present and release MIDI-GPT, a generative system based on the Transformer architecture that is designed for computer-assisted music composition workflows. MIDI-GPT supports the…
miditok: A Python package for MIDI file tokenization
Nathan Fradet, Jean-Pierre Briot, Fabien Chhel +2
Recent progress in natural language processing has been adapted to the symbolic music modality. Language models, such as Transformers, have been used with symbolic music for a vari…
Impact of time and note duration tokenizations on deep learning symbolic music modeling
Nathan Fradet, Nicolas Gutowski, Fabien Chhel +1
Symbolic music is widely used in various deep learning tasks, including generation, transcription, synthesis, and Music Information Retrieval (MIR). It is mostly employed with disc…
Byte Pair Encoding for Symbolic Music
Nathan Fradet, Nicolas Gutowski, Fabien Chhel +1
When used with deep learning, the symbolic music modality is often coupled with language model architectures. To do so, the music needs to be tokenized, i.e. converted into a seque…