Leveraging repetition to do audio imputation. - Ethan Manilow; Bryan Pardo (WASPAA, 2017)

Predicting algorithm efficacy for adaptive multi-cue source separation. - Ethan Manilow; Prem Seetharaman; Fatemeh Pishdadian; Bryan Pardo (WASPAA, 2017)

The Northwestern University Source Separation Library. - Ethan Manilow; Prem Seetharaman; Bryan Pardo (ISMIR, 2018)

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 (INTERSPEECH, 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 (WASPAA, 2019)

Simultaneous Separation and Transcription of Mixtures with Multiple Polyphonic and Percussive Instruments. - Ethan Manilow; Prem Seetharaman; Bryan Pardo (ICASSP, 2020)

Hierarchical Musical Instrument Separation. - Ethan Manilow; Gordon Wichern; Jonathan Le Roux (ISMIR, 2020)

audioLIME: Listenable Explanations Using Source Separation. - Verena Haunschmid; Ethan Manilow; Gerhard Widmer (CoRR, 2020)

Towards Musically Meaningful Explanations Using Source Separation. - Verena Haunschmid; Ethan Manilow; Gerhard Widmer (CoRR, 2020)

Bespoke Neural Networks for Score-Informed Source Separation. - Ethan Manilow; Bryan Pardo (CoRR, 2020)

Leveraging Hierarchical Structures for Few-Shot Musical Instrument Recognition. - Hugo Flores García; Aldo Aguilar; Ethan Manilow; Bryan Pardo (ISMIR, 2021)

Sequence-to-Sequence Piano Transcription with Transformers. - Curtis Hawthorne; Ian Simon; Rigel Swavely; Ethan Manilow; Jesse H. Engel (ISMIR, 2021)

Unsupervised Source Separation By Steering Pretrained Music Models. - Ethan Manilow; Patrick O'Reilly; Prem Seetharaman; Bryan Pardo (CoRR, 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)

Improving Source Separation by Explicitly Modeling Dependencies between Sources. - Ethan Manilow; Curtis Hawthorne; Cheng-Zhi Anna Huang; Bryan Pardo; Jesse H. Engel (ICASSP, 2022)

Source Separation By Steering Pretrained Music Models. - Ethan Manilow; Patrick O'Reilly; Prem Seetharaman; Bryan Pardo (ICASSP, 2022)

MT3: Multi-Task Multitrack Music Transcription. - Josh Gardner 001; Ian Simon; Ethan Manilow; Curtis Hawthorne; Jesse H. Engel (ICLR, 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 (ICLR, 2022)

Multi-instrument Music Synthesis with Spectrogram Diffusion. - Curtis Hawthorne; Ian Simon; Adam Roberts; Neil Zeghidour; Josh Gardner 001; Ethan Manilow; Jesse H. Engel (ISMIR, 2022)

Music Separation Enhancement with Generative Modeling. - Noah Schaffer; Boaz Cogan; Ethan Manilow; Max Morrison; Prem Seetharaman; Bryan Pardo (ISMIR, 2022)

Scaling Polyphonic Transcription with Mixtures of Monophonic Transcriptions. - Ian Simon; Josh Gardner 001; Curtis Hawthorne; Ethan Manilow; Jesse H. Engel (ISMIR, 2022)

The Chamber Ensemble Generator: Limitless High-Quality MIR Data via Generative Modeling. - Yusong Wu; Josh Gardner 001; Ethan Manilow; Ian Simon; Curtis Hawthorne; Jesse H. Engel (CoRR, 2022)

Redefining Relationships in Music. - Christian Detweiler; Beth Coleman; Fernando Diaz 001; Lieke Dom; Chris Donahue; Jesse H. Engel; Cheng-Zhi Anna Huang; Larry James; Ethan Manilow; Amanda McCroskery; Kyle Pedersen; Pamela Peter-Agbia; et al. (CoRR, 2022)

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)

Live Music Models. - Antoine Caillon; Brian McWilliams; Cassie Tarakajian; Ian Simon; Ilaria Manco; Jesse H. Engel; Noah Constant; Yunpeng Li 008; Timo I. Denk; Alberto Lalama; Andrea Agostinelli; Cheng-Zhi Anna Huang; et al. (CoRR, 2025)