Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In many applications such as music transcription, audio forensics, speech denoising, it is needed to decompose a mono recording into its respective sources. These techniques are usually referred to as blind source separation (BSS). Recently, one of the techniques used in BSS is non-negative matrix factorization (NMF) both in supervised and unsupervised learning method.   focus on convolutive NMF algorithms to evaluate the performance of BSS in which supervised mode is used. The results on music mixtures of the MASS database based on signal to distortion ratio (SDR) and signal to artefact ratio (SAR) show that the proposed system perform a good reconstruction of sources signal.
['Giovanni Costantini', 'Massimiliano Todisco', 'Giovanni Saggio']
I am writing a research paper on a idea Sources separation of mono signal based on convolutive NMF
[{"from": "human", "value": "I am writing a research paper on a idea Sources separation of mono signal based on convolutive NMF"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In many applications such as music transcription, audio forensics, speech denoising, it is needed to decompose a mono recording into its respective sources. These techniques are usually referred to as blind source separation (BSS). Recently, one of the techniques used in BSS is non-negative matrix factorization (NMF) both in supervised and unsupervised learning method.   focus on convolutive NMF algorithms to evaluate the performance of BSS in which supervised mode is used. The results on music mixtures of the MASS database based on signal to distortion ratio (SDR) and signal to artefact ratio (SAR) show that the proposed system perform a good reconstruction of sources signal."}]