Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In applications such as audio denoising, music transcription, music remixing, and audiobased forensics, it is desirable to decompose a single-channel recording into its respective sources. One of the current most eective class of methods to do so is based on nonnegative matrix factorization and related latent variable models. Such techniques, hover, typically perform poorly when no isolated training data is given and do not allow user feedback to correct for poor results. To overcome these issues,  allow a user to interactively constrain a latent variable model by painting on a time-frequency display of sound to guide the learning process. The annotations are used within the framework of posterior regularization to impose linear grouping constraints that would otherwise be dicult
['Nicholas J. Bryan', 'Gautham J. Mysore']
I am writing a research paper on a idea An Efficient Posterior Regularized Latent Variable Model for Interactive Sound Source Separation
[{"from": "human", "value": "I am writing a research paper on a idea An Efficient Posterior Regularized Latent Variable Model for Interactive Sound Source Separation"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In applications such as audio denoising, music transcription, music remixing, and audiobased forensics, it is desirable to decompose a single-channel recording into its respective sources. One of the current most eective class of methods to do so is based on nonnegative matrix factorization and related latent variable models. Such techniques, hover, typically perform poorly when no isolated training data is given and do not allow user feedback to correct for poor results. To overcome these issues,  allow a user to interactively constrain a latent variable model by painting on a time-frequency display of sound to guide the learning process. The annotations are used within the framework of posterior regularization to impose linear grouping constraints that would otherwise be dicult"}]