Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  propose a new two-step frequency domain algorithm for blind speech separation (BSS) for unknown channel order. This new approach employs parallel factor analysis (PARAFAC) to separate the speech signals and a novel integer-least-squares-based method for matching the arbitrary permutations in the frequency domain. The proposed algorithm offers guaranteed convergence and good separation performance, measured both quantitatively and in subjective tests. Performance gains in signal-to-interference ratio of up to 10 db are achieved for certain source-sensor geometries.
['Kleanthis N. Mokios', 'Nicholas D. Sidiropoulos', 'Alexandros Potamianos']
I am writing a research paper on a idea Blind Speech Separation Using Parafac Analysis and Integer Least Squares
[{"from": "human", "value": "I am writing a research paper on a idea Blind Speech Separation Using Parafac Analysis and Integer Least Squares"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  propose a new two-step frequency domain algorithm for blind speech separation (BSS) for unknown channel order. This new approach employs parallel factor analysis (PARAFAC) to separate the speech signals and a novel integer-least-squares-based method for matching the arbitrary permutations in the frequency domain. The proposed algorithm offers guaranteed convergence and good separation performance, measured both quantitatively and in subjective tests. Performance gains in signal-to-interference ratio of up to 10 db are achieved for certain source-sensor geometries."}]