Ethan Manilow

According to our database, Ethan Manilow authored at least 24 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

SingSong: Generating musical accompaniments from singing.

Chris Donahue, Antoine Caillon, Adam Roberts, Ethan Manilow, Philippe Esling, Andrea Agostinelli, Mauro Verzetti, Ian Simon, Olivier Pietquin, Neil Zeghidour, Jesse H. Engel

CoRR, 2023

2022

Redefining Relationships in Music.

Christian Detweiler, Beth Coleman, Fernando Diaz, Lieke Dom, Chris Donahue, Jesse H. Engel, Cheng-Zhi Anna Huang, Larry James, Ethan Manilow, Amanda McCroskery, Kyle Pedersen, Pamela Peter-Agbia, Negar Rostamzadeh, Robert Thomas, Marco Zamarato, Ben Zevenbergen

CoRR, 2022

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

Yusong Wu, Josh Gardner, Ethan Manilow, Ian Simon, Curtis Hawthorne, Jesse H. Engel

CoRR, 2022

Scaling Polyphonic Transcription with Mixtures of Monophonic Transcriptions.

Ian Simon, Josh Gardner, Curtis Hawthorne, Ethan Manilow, Jesse H. Engel

Proceedings of the 23rd International Society for Music Information Retrieval Conference, 2022

Music Separation Enhancement with Generative Modeling.

Noah Schaffer, Boaz Cogan, Ethan Manilow, Max Morrison, Prem Seetharaman, Bryan Pardo

Proceedings of the 23rd International Society for Music Information Retrieval Conference, 2022

Multi-instrument Music Synthesis with Spectrogram Diffusion.

Curtis Hawthorne, Ian Simon, Adam Roberts, Neil Zeghidour, Josh Gardner, Ethan Manilow, Jesse H. Engel

Proceedings of the 23rd International Society for Music Information Retrieval Conference, 2022

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

Yusong Wu, Ethan Manilow, Yi Deng, Rigel Swavely, Kyle Kastner, Tim Cooijmans, Aaron C. Courville, Cheng-Zhi Anna Huang, Jesse H. Engel

Proceedings of the Tenth International Conference on Learning Representations, 2022

MT3: Multi-Task Multitrack Music Transcription.

Josh Gardner, Ian Simon, Ethan Manilow, Curtis Hawthorne, Jesse H. Engel

Proceedings of the Tenth International Conference on Learning Representations, 2022

Source Separation By Steering Pretrained Music Models.

Ethan Manilow, Patrick O'Reilly, Prem Seetharaman, Bryan Pardo

Proceedings of the IEEE International Conference on Acoustics, 2022

Improving Source Separation by Explicitly Modeling Dependencies between Sources.

Ethan Manilow, Curtis Hawthorne, Cheng-Zhi Anna Huang, Bryan Pardo, Jesse H. Engel

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Deep Learning Tools for Audacity: Helping Researchers Expand the Artist's Toolkit.

Hugo Flores García, Aldo Aguilar, Ethan Manilow, Dmitry Vedenko, Bryan Pardo

CoRR, 2021

Unsupervised Source Separation By Steering Pretrained Music Models.

Ethan Manilow, Patrick O'Reilly, Prem Seetharaman, Bryan Pardo

CoRR, 2021

Sequence-to-Sequence Piano Transcription with Transformers.

Curtis Hawthorne, Ian Simon, Rigel Swavely, Ethan Manilow, Jesse H. Engel

Proceedings of the 22nd International Society for Music Information Retrieval Conference, 2021

Leveraging Hierarchical Structures for Few-Shot Musical Instrument Recognition.

Hugo Flores García, Aldo Aguilar, Ethan Manilow, Bryan Pardo

Proceedings of the 22nd International Society for Music Information Retrieval Conference, 2021

2020

Bespoke Neural Networks for Score-Informed Source Separation.

Ethan Manilow, Bryan Pardo

CoRR, 2020

Towards Musically Meaningful Explanations Using Source Separation.

Verena Haunschmid, Ethan Manilow, Gerhard Widmer

CoRR, 2020

audioLIME: Listenable Explanations Using Source Separation.

Verena Haunschmid, Ethan Manilow, Gerhard Widmer

CoRR, 2020

Hierarchical Musical Instrument Separation.

Ethan Manilow, Gordon Wichern, Jonathan Le Roux

Proceedings of the 21th International Society for Music Information Retrieval Conference, 2020

Simultaneous Separation and Transcription of Mixtures with Multiple Polyphonic and Percussive Instruments.

Ethan Manilow, Prem Seetharaman, Bryan Pardo

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Cutting Music Source Separation Some Slakh: A Dataset to Study the Impact of Training Data Quality and Quantity.

Ethan Manilow, Gordon Wichern, Prem Seetharaman, Jonathan Le Roux

Proceedings of the 2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2019

WHAM!: Extending Speech Separation to Noisy Environments.

Gordon Wichern, Joe Antognini, Michael Flynn, Licheng Richard Zhu, Emmett McQuinn, Dwight Crow, Ethan Manilow, Jonathan Le Roux

Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

2018

The Northwestern University Source Separation Library.

Ethan Manilow, Prem Seetharaman, Bryan Pardo

Proceedings of the 19th International Society for Music Information Retrieval Conference, 2018

2017

Predicting algorithm efficacy for adaptive multi-cue source separation.

Ethan Manilow, Prem Seetharaman, Fatemeh Pishdadian, Bryan Pardo

Proceedings of the 2017 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2017

Leveraging repetition to do audio imputation.

Ethan Manilow, Bryan Pardo

Proceedings of the 2017 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2017