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A Study of Transfer Learning in Music Source Separation

Oct 23, 2020
Andreas Bugler, Bryan Pardo, Prem Seetharaman

* 4 pages + 1 reference page. 3 figures. Submitted to ICASSP 

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Bespoke Neural Networks for Score-Informed Source Separation

Sep 29, 2020
Ethan Manilow, Bryan Pardo

* ISMIR 2020 - Late Breaking Demo 

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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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OtoMechanic: Auditory Automobile Diagnostics via Query-by-Example

Nov 05, 2019
Max Morrison, Bryan Pardo

* Submitted to Workshop on Detection and Classification of Acoustic Scenes and Events 2019 (DCASE2019) 

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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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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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