papers

Publications (31)

cs.SD2022

Multi-instrument Music Synthesis with Spectrogram Diffusion

Curtis Hawthorne, Ian Simon, Adam Roberts +4

cs.SD2021

Symbolic Music Generation with Diffusion Models

Gautam Mittal, Jesse Engel, Curtis Hawthorne +1

cs.SD2022

HEAR: Holistic Evaluation of Audio Representations

Joseph Turian, Jordie Shier, Humair Raj Khan +20

cs.SD2020

Encoding Musical Style with Transformer Autoencoders

Kristy Choi, Curtis Hawthorne, Ian Simon +2

cs.CY2022

Redefining Relationships in Music

Christian Detweiler, Beth Coleman, Fernando Diaz +13

cs.LG2021

Variable-rate discrete representation learning

Sander Dieleman, Charlie Nash, Jesse Engel +1

cs.SD2022

MT3: Multi-Task Multitrack Music Transcription

Josh Gardner, Ian Simon, Ethan Manilow +2

cs.SD2022

Improving Source Separation by Explicitly Modeling Dependencies Between Sources

Ethan Manilow, Curtis Hawthorne, Cheng-Zhi Anna Huang +2

cs.SD2023

MusicLM: Generating Music From Text

Andrea Agostinelli, Timo I. Denk, Zalán Borsos +10

cs.SD2019

Enabling Factorized Piano Music Modeling and Generation with the MAESTRO Dataset

Curtis Hawthorne, Andriy Stasyuk, Adam Roberts +6

cs.SD2021

Sequence-to-Sequence Piano Transcription with Transformers

Curtis Hawthorne, Ian Simon, Rigel Swavely +2

cs.SD2020

Improving Perceptual Quality of Drum Transcription with the Expanded Groove MIDI Dataset

Lee Callender, Curtis Hawthorne, Jesse Engel

stat.ML2018

Learning a Latent Space of Multitrack Measures

Ian Simon, Adam Roberts, Colin Raffel +3

cs.SD2019

Learning to Groove with Inverse Sequence Transformations

Jon Gillick, Adam Roberts, Jesse Engel +2

cs.LG2019

Latent Translation: Crossing Modalities by Bridging Generative Models

Yingtao Tian, Jesse Engel

cs.SD2025

Live Music Models

Lyria Team, Antoine Caillon, Brian McWilliams +33

cs.SD2023

SingSong: Generating musical accompaniments from singing

Chris Donahue, Antoine Caillon, Adam Roberts +8

cs.SD2022

MIDI-DDSP: Detailed Control of Musical Performance via Hierarchical Modeling

Yusong Wu, Ethan Manilow, Yi Deng +6

cs.SD2022

The Chamber Ensemble Generator: Limitless High-Quality MIR Data via Generative Modeling

Yusong Wu, Josh Gardner, Ethan Manilow +3

cs.CL2015

Deep Speech 2: End-to-End Speech Recognition in English and Mandarin

Dario Amodei, Rishita Anubhai, Eric Battenberg +31

cs.LG2019

A Hierarchical Latent Vector Model for Learning Long-Term Structure in Music

Adam Roberts, Jesse Engel, Colin Raffel +2

cs.LG2017

Latent Constraints: Learning to Generate Conditionally from Unconditional Generative Models

Jesse Engel, Matthew Hoffman, Adam Roberts

cs.LG2020

DDSP: Differentiable Digital Signal Processing

Jesse Engel, Lamtharn Hantrakul, Chenjie Gu +1

cs.HC2021

Expressive Communication: A Common Framework for Evaluating Developments in Generative Models and Steering Interfaces

Ryan Louie, Jesse Engel, Anna Huang

cs.CL2023

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao +448

cs.LG2017

Neural Audio Synthesis of Musical Notes with WaveNet Autoencoders

Jesse Engel, Cinjon Resnick, Adam Roberts +4

cs.SD2023

Noise2Music: Text-conditioned Music Generation with Diffusion Models

Qingqing Huang, Daniel S. Park, Tao Wang +12

cs.LG2018

Learning via social awareness: Improving a deep generative sketching model with facial feedback

Natasha Jaques, Jennifer McCleary, Jesse Engel +4

cs.LG2022

General-purpose, long-context autoregressive modeling with Perceiver AR

Curtis Hawthorne, Andrew Jaegle, Cătălina Cangea +12

cs.SD2018

Onsets and Frames: Dual-Objective Piano Transcription

Curtis Hawthorne, Erich Elsen, Jialin Song +6

cs.SD2019

GANSynth: Adversarial Neural Audio Synthesis

Jesse Engel, Kumar Krishna Agrawal, Shuo Chen +3