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AutoClip: Adaptive Gradient Clipping for Source Separation Networks

Jul 25, 2020
Prem Seetharaman, Gordon Wichern, Bryan Pardo, Jonathan Le Roux

* Accepted at 2020 IEEE International Workshop on Machine Learning for Signal Processing, Sept.\ 21--24, 2020, Espoo, Finland 

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Bach or Mock? A Grading Function for Chorales in the Style of J.S. Bach

Jul 17, 2020
Alexander Fang, Alisa Liu, Prem Seetharaman, Bryan Pardo

* 2 pages, 3 figures, Machine Learning for Media Discovery (ML4MD) Workshop at ICML 2020 

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Incorporating Music Knowledge in Continual Dataset Augmentation for Music Generation

Jul 17, 2020
Alisa Liu, Alexander Fang, Gaëtan Hadjeres, Prem Seetharaman, Bryan Pardo

* 2 pages, 2 figures, Machine Learning for Media Discovery (ML4MD) Workshop at ICML 2020 

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OtoWorld: Towards Learning to Separate by Learning to Move

Jul 12, 2020
Omkar Ranadive, Grant Gasser, David Terpay, Prem Seetharaman

* Published in Self Supervision in Audio and Speech Workshop, 37th International Conference on Machine Learning, Vienna, Austria (ICML 2020) 

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Model selection for deep audio source separation via clustering analysis

Oct 23, 2019
Alisa Liu, Prem Seetharaman, Bryan Pardo


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Bootstrapping deep music separation from primitive auditory grouping principles

Oct 23, 2019
Prem Seetharaman, Gordon Wichern, Jonathan Le Roux, Bryan Pardo


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

Oct 22, 2019
Ethan Manilow, Prem Seetharaman, Bryan Pardo

* Submitted to ICASSP 2020 

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

Sep 18, 2019
Ethan Manilow, Gordon Wichern, Prem Seetharaman, Jonathan Le Roux

* Accepted for publication at WASPAA 2019 

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Class-conditional embeddings for music source separation

Nov 07, 2018
Prem Seetharaman, Gordon Wichern, Shrikant Venkataramani, Jonathan Le Roux

* 5 pages 

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Bootstrapping single-channel source separation via unsupervised spatial clustering on stereo mixtures

Nov 06, 2018
Prem Seetharaman, Gordon Wichern, Jonathan Le Roux, Bryan Pardo

* 5 pages, 2 figures 

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