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11/28/2022
Continuous diffusion for categorical data
Diffusion models have quickly become the go-to paradigm for generative m...
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09/28/2022
The Chamber Ensemble Generator: Limitless High-Quality MIR Data via Generative Modeling
Data is the lifeblood of modern machine learning systems, including for ...
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06/11/2022
Multi-instrument Music Synthesis with Spectrogram Diffusion
An ideal music synthesizer should be both interactive and expressive, ge...
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03/31/2022
Scaling Up Models and Data with and
Recent neural network-based language models have benefited greatly from ...
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03/28/2022
Improving Source Separation by Explicitly Modeling Dependencies Between Sources
We propose a new method for training a supervised source separation syst...
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02/15/2022
General-purpose, long-context autoregressive modeling with Perceiver AR
Real-world data is high-dimensional: a book, image, or musical performan...
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11/04/2021
MT3: Multi-Task Multitrack Music Transcription
Automatic Music Transcription (AMT), inferring musical notes from raw au...
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07/19/2021
Sequence-to-Sequence Piano Transcription with Transformers
Automatic Music Transcription has seen significant progress in recent ye...
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03/30/2021
Symbolic Music Generation with Diffusion Models
Score-based generative models and diffusion probabilistic models have be...
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04/01/2020
Improving Perceptual Quality of Drum Transcription with the Expanded Groove MIDI Dataset
Classifier metrics, such as accuracy and F-measure score, often serve as...
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12/10/2019
Encoding Musical Style with Transformer Autoencoders
We consider the problem of learning high-level controls over the global ...
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07/14/2019
The Bach Doodle: Approachable music composition with machine learning at scale
To make music composition more approachable, we designed the first AI-po...
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10/29/2018
Enabling Factorized Piano Music Modeling and Generation with the MAESTRO Dataset
Generating musical audio directly with neural networks is notoriously di...
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09/12/2018
An Improved Relative Self-Attention Mechanism for Transformer with Application to Music Generation
Music relies heavily on self-reference to build structure and meaning. W...
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09/12/2018
Music Transformer
Music relies heavily on repetition to build structure and meaning. Self-...
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06/01/2018
Learning a Latent Space of Multitrack Measures
Discovering and exploring the underlying structure of multi-instrumental...
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03/13/2018
A Hierarchical Latent Vector Model for Learning Long-Term Structure in Music
The Variational Autoencoder (VAE) has proven to be an effective model fo...
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10/30/2017