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01/30/2023
SingSong: Generating musical accompaniments from singing
We present SingSong, a system that generates instrumental music to accom...
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12/13/2022
Redefining Relationships in Music
AI tools increasingly shape how we discover, make and experience music. ...
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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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08/26/2022
Music Separation Enhancement with Generative Modeling
Despite phenomenal progress in recent years, state-of-the-art music sepa...
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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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03/28/2022
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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12/17/2021
MIDI-DDSP: Detailed Control of Musical Performance via Hierarchical Modeling
Musical expression requires control of both what notes are played, and h...
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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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10/25/2021
Deep Learning Tools for Audacity: Helping Researchers Expand the Artist's Toolkit
We present a software framework that integrates neural networks into the...
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10/25/2021
Unsupervised Source Separation By Steering Pretrained Music Models
We showcase an unsupervised method that repurposes deep models trained f...
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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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07/14/2021
Leveraging Hierarchical Structures for Few-Shot Musical Instrument Recognition
Deep learning work on musical instrument recognition has generally focus...
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09/29/2020
Bespoke Neural Networks for Score-Informed Source Separation
In this paper, we introduce a simple method that can separate arbitrary ...
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09/04/2020
Towards Musically Meaningful Explanations Using Source Separation
Deep neural networks (DNNs) are successfully applied in a wide variety o...
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08/02/2020
audioLIME: Listenable Explanations Using Source Separation
Deep neural networks (DNNs) are successfully applied in a wide variety o...
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10/22/2019
Simultaneous Separation and Transcription of Mixtures with Multiple Polyphonic and Percussive Instruments
We present a single deep learning architecture that can both separate an...
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09/18/2019
Cutting Music Source Separation Some Slakh: A Dataset to Study the Impact of Training Data Quality and Quantity
Music source separation performance has greatly improved in recent years...
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07/02/2019