We present SingSong, a system that generates instrumental music to accom...
Data is the lifeblood of modern machine learning systems, including for ...
An ideal music synthesizer should be both interactive and expressive,
ge...
Real-world data is high-dimensional: a book, image, or musical performan...
Automatic Music Transcription (AMT), inferring musical notes from raw au...
Automatic Music Transcription has seen significant progress in recent ye...
Score-based generative models and diffusion probabilistic models have be...
We consider the problem of learning high-level controls over the global
...
Generating musical audio directly with neural networks is notoriously
di...
We present Piano Genie, an intelligent controller which allows non-music...
Music relies heavily on repetition to build structure and meaning.
Self-...
Music generation has generally been focused on either creating scores or...
Discovering and exploring the underlying structure of multi-instrumental...
We consider the problem of transcribing polyphonic piano music with an
e...