| WHAM!: Extending Speech Separation to Noisy Environments G Wichern, J Antognini, M Flynn, LR Zhu, E McQuinn, D Crow, E Manilow, ... INTERSPEECH 2019, 2019 | 313 | 2019 |
| Cutting Music Source Separation Some Slakh: A Dataset to Study the Impact of Training Data Quality and Quantity E Manilow, G Wichern, P Seetharaman, J Le Roux 2019 IEEE Workshop on Applications of Signal Processing to Audio and …, 2019 | 117 | 2019 |
| Sequence-to-Sequence Piano Transcription with Transformers C Hawthorne, I Simon, R Swavely, E Manilow, J Engel 2021 International Society for Music Information Retrieval Conference, 2021 | 77 | 2021 |
| MT3: Multi-Task Multitrack Music Transcription J Gardner, I Simon, E Manilow, C Hawthorne, J Engel 2021 International Conference on Learning Representations, 2021 | 76 | 2021 |
| Simultaneous Separation and Transcription of Mixtures with Multiple Polyphonic and Percussive Instruments E Manilow, P Seetharaman, B Pardo 2020 IEEE International Conference on Acoustics, Speech and Signal …, 2020 | 52 | 2020 |
| Multi-instrument Music Synthesis with Spectrogram Diffusion C Hawthorne, I Simon, A Roberts, N Zeghidour, J Gardner, E Manilow, ... 2022 International Society for Music Information Retrieval Conference, 2022 | 44 | 2022 |
| MIDI-DDSP: Detailed Control of Musical Performance via Hierarchical Modeling Y Wu, E Manilow, Y Deng, R Swavely, K Kastner, T Cooijmans, ... 2021 International Conference on Learning Representations, 2021 | 40 | 2021 |
| The Northwestern University Source Separation Library E Manilow, P Seetharaman, B Pardo 2018 International Society for Music Information Retrieval Conference, 2018 | 40 | 2018 |
| SingSong: Generating musical accompaniments from singing C Donahue, A Caillon, A Roberts, E Manilow, P Esling, A Agostinelli, ... arXiv preprint arXiv:2301.12662, 2023 | 39 | 2023 |
| Leveraging Hierarchical Structures for Few-Shot Musical Instrument Recognition H Flores Garcia, A Aguilar, E Manilow, B Pardo 2021 International Society for Music Information Retrieval Conference, 2021 | 33* | 2021 |
| audioLIME: Listenable Explanations Using Source Separation V Haunschmid, E Manilow, G Widmer 13th International Workshop on Machine Learning and Music, 2020 | 31 | 2020 |
| Hierarchical Musical Instrument Separation E Manilow, G Wichern, J Le Roux 2020 International Society for Music Information Retrieval Conference, 2020 | 27 | 2020 |
| Open Source Tools & Data for Music Source Separation E Manilow, P Seetharman, J Salamon ISMIR 2020 – Tutorial, Online book., 2020 | 21 | 2020 |
| Predicting algorithm efficacy for adaptive multi-cue source separation E Manilow, P Seetharaman, F Pishdadian, B Pardo 2017 IEEE Workshop on Applications of Signal Processing to Audio and …, 2017 | 20 | 2017 |
| Music Separation Enhancement with Generative Models N Schaffer, B Cogan, E Manilow, M Morrison, P Seetharaman, B Pardo 2022 International Society for Music Information Retrieval Conference, 2022 | 13* | 2022 |
| Source Separation by Steering Pretrained Music Models E Manilow, P O’Reilly, P Seetharaman, B Pardo 2022 IEEE International Conference on Acoustics, Speech and Signal …, 2022 | 10* | 2022 |
| Streamlined calibrations of the ATLAS precision muon chambers for initial LHC running N Amram, R Ball, Y Benhammou, MB Moshe, T Dai, EB Diehl, J Dubbert, ... Nuclear Instruments and Methods in Physics Research Section A: Accelerators …, 2012 | 9 | 2012 |
| The Chamber Ensemble Generator: Limitless High-Quality MIR Data via Generative Modeling Y Wu, J Gardner, E Manilow, I Simon, C Hawthorne, J Engel arXiv preprint arXiv:2209.14458, 2022 | 8 | 2022 |
| Leveraging repetition to do audio imputation E Manilow, B Pardo 2017 IEEE Workshop on Applications of Signal Processing to Audio and …, 2017 | 8 | 2017 |
| Improving Source Separation by Explicitly Modeling Dependencies Between Sources E Manilow, C Hawthorne, CZA Huang, B Pardo, J Engel 2022 IEEE International Conference on Acoustics, Speech and Signal …, 2022 | 7 | 2022 |
Jesse H. EngelGoogle DeepMindVerified email at google.com
