Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: This article addresses the problem of multichannel music separation.  propose a framework where the source spectra are estimated using deep neural networks and combined with spatial covariance matrices to encode the source spatial characteristics. The parameters are estimated in an iterative expectation-maximization fashion and used to derive a multichannel Wiener filter.  evaluate the proposed framework for the task of music separation on a large dataset. Experimental results show that the method  describe performs consistently ll in separating singing voice and other instruments from realistic musical mixtures.
['Aditya Arie Nugraha', 'Antoine Liutkus', 'Emmanuel Vincent']
I am writing a research paper on a idea Multichannel music separation with deep neural networks
[{"from": "human", "value": "I am writing a research paper on a idea Multichannel music separation with deep neural networks"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: This article addresses the problem of multichannel music separation.  propose a framework where the source spectra are estimated using deep neural networks and combined with spatial covariance matrices to encode the source spatial characteristics. The parameters are estimated in an iterative expectation-maximization fashion and used to derive a multichannel Wiener filter.  evaluate the proposed framework for the task of music separation on a large dataset. Experimental results show that the method  describe performs consistently ll in separating singing voice and other instruments from realistic musical mixtures."}]