Ethan Manilow | DeepAI

AI Chat

Featured Co-authors

Aaron Courville
152 publications
Gerhard Widmer
98 publications
Olivier Pietquin
71 publications
Jonathan Le Roux
59 publications
Fernando Diaz
38 publications
Adam Roberts
32 publications
Neil Zeghidour
31 publications
Gordon Wichern
30 publications
Jesse Engel
29 publications
Negar Rostamzadeh
29 publications
Philippe Esling
26 publications

∙ 01/30/2023

SingSong: Generating musical accompaniments from singing

We present SingSong, a system that generates instrumental music to accom...

4 Chris Donahue, et al. ∙

∙ 12/13/2022

Redefining Relationships in Music

AI tools increasingly shape how we discover, make and experience music. ...

0 Christian Detweiler, et al. ∙

∙ 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 ...

9 Yusong Wu, et al. ∙

∙ 08/26/2022

Music Separation Enhancement with Generative Modeling

Despite phenomenal progress in recent years, state-of-the-art music sepa...

5 Noah Schaffer, et al. ∙

∙ 06/11/2022

Multi-instrument Music Synthesis with Spectrogram Diffusion

An ideal music synthesizer should be both interactive and expressive, ge...

6 Curtis Hawthorne, et al. ∙

∙ 03/28/2022

Improving Source Separation by Explicitly Modeling Dependencies Between Sources

We propose a new method for training a supervised source separation syst...

0 Ethan Manilow, et al. ∙

∙ 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...

6 Yusong Wu, et al. ∙

∙ 11/04/2021

MT3: Multi-Task Multitrack Music Transcription

Automatic Music Transcription (AMT), inferring musical notes from raw au...

4 Josh Gardner, et al. ∙

∙ 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...

23 Hugo Flores Garcia, et al. ∙

∙ 10/25/2021

Unsupervised Source Separation By Steering Pretrained Music Models

We showcase an unsupervised method that repurposes deep models trained f...

1 Ethan Manilow, et al. ∙

∙ 07/19/2021

Sequence-to-Sequence Piano Transcription with Transformers

Automatic Music Transcription has seen significant progress in recent ye...

26 Curtis Hawthorne, et al. ∙

∙ 07/14/2021

Leveraging Hierarchical Structures for Few-Shot Musical Instrument Recognition

Deep learning work on musical instrument recognition has generally focus...

12 Hugo Flores Garcia, et al. ∙

∙ 09/29/2020

Bespoke Neural Networks for Score-Informed Source Separation

In this paper, we introduce a simple method that can separate arbitrary ...

0 Ethan Manilow, et al. ∙

∙ 09/04/2020

Towards Musically Meaningful Explanations Using Source Separation

Deep neural networks (DNNs) are successfully applied in a wide variety o...

0 Verena Haunschmid, et al. ∙

∙ 08/02/2020

audioLIME: Listenable Explanations Using Source Separation

Deep neural networks (DNNs) are successfully applied in a wide variety o...

0 Verena Haunschmid, et al. ∙

∙ 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...

0 Ethan Manilow, et al. ∙

∙ 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...

0 Ethan Manilow, et al. ∙

∙ 07/02/2019

WHAM!: Extending Speech Separation to Noisy Environments

Recent progress in separating the speech signals from multiple overlappi...

0 Gordon Wichern, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world