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Ethan Manilow
Ethan Manilow
Google DeepMind
Bestätigte E-Mail-Adresse bei u.northwestern.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
WHAM!: Extending Speech Separation to Noisy Environments
G Wichern, J Antognini, M Flynn, LR Zhu, E McQuinn, D Crow, E Manilow, ...
INTERSPEECH 2019, 2019
3122019
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
1162019
MT3: Multi-Task Multitrack Music Transcription
J Gardner, I Simon, E Manilow, C Hawthorne, J Engel
2021 International Conference on Learning Representations, 2021
762021
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
752021
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
512020
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
442022
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
402021
The Northwestern University Source Separation Library
E Manilow, P Seetharaman, B Pardo
2018 International Society for Music Information Retrieval Conference, 2018
402018
SingSong: Generating musical accompaniments from singing
C Donahue, A Caillon, A Roberts, E Manilow, P Esling, A Agostinelli, ...
arXiv preprint arXiv:2301.12662, 2023
382023
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
32*2021
audioLIME: Listenable Explanations Using Source Separation
V Haunschmid, E Manilow, G Widmer
13th International Workshop on Machine Learning and Music, 2020
312020
Hierarchical Musical Instrument Separation
E Manilow, G Wichern, J Le Roux
2020 International Society for Music Information Retrieval Conference, 2020
262020
Open Source Tools & Data for Music Source Separation
E Manilow, P Seetharman, J Salamon
ISMIR 2020 – Tutorial, Online book., 2020
212020
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
202017
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
92012
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
82022
Leveraging repetition to do audio imputation
E Manilow, B Pardo
2017 IEEE Workshop on Applications of Signal Processing to Audio and …, 2017
82017
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
72022
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