Improving Impulse Audio Source Separation using Generative Adversarial Networks for Phase Generation
This thesis explored separating impulse noise from a desired signal, for the purposes of hearing protection for soldiers and musicians. An evaluation of current techniques in source separation, such as matrix demixing methods (Independent Component Analysis, Independent Vector Analysis), and masking...
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| Format: | Thesis |
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Massachusetts Institute of Technology
2022
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| Online Access: | https://hdl.handle.net/1721.1/138956 |