7 papers
Text2Score: Generating Sheet Music From Textual Prompts
Keshav Bhandari, Sungkyun Chang, Abhinaba Roy +4
Developing text-driven symbolic music generation models remains challenging due to the scarcity of aligned text-music datasets and the unreliability of automated captioning pipelin…
The Ghost in the Keys: A Disklavier Demo for Human-AI Musical Co-Creativity
Louis Bradshaw, Alexander Spangher, Stella Biderman +1
While generative models for music composition are increasingly capable, their adoption by musicians is hindered by text-prompting, an asynchronous workflow disconnected from the em…
Scaling Self-Supervised Representation Learning for Symbolic Piano Performance
Louis Bradshaw, Honglu Fan, Alexander Spangher +2
We study the capabilities of generative autoregressive transformer models trained on large amounts of symbolic solo-piano transcriptions. After first pretraining on approximately 6…
ImprovNet -- Generating Controllable Musical Improvisations with Iterative Corruption Refinement
Keshav Bhandari, Sungkyun Chang, Tongyu Lu +4
Despite deep learning's remarkable advances in style transfer across various domains, generating controllable performance-level musical style transfer for complete symbolically rep…
Aria-MIDI: A Dataset of Piano MIDI Files for Symbolic Music Modeling
Louis Bradshaw, Simon Colton
We introduce an extensive new dataset of MIDI files, created by transcribing audio recordings of piano performances into their constituent notes. The data pipeline we use is multi-…
Yin-Yang: Developing Motifs With Long-Term Structure And Controllability
Keshav Bhandari, Geraint A. Wiggins, Simon Colton
Transformer models have made great strides in generating symbolically represented music with local coherence. However, controlling the development of motifs in a structured way wit…