Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Harmonicity and continuity are two important perceptual cues for separating mixed speech sources.  focuses on the separation of two speech sources with a single-microphone input. An iterative, least-squares (LS) based trajectory regeneration algorithm is proposed to estimate the magnitude spectrum of each source. Time-derivatives of the spectrum, or the dynamic spectral information, is used as a constraint in solving the resultant ighted normal equations. Each estimated spectral trajectory, as a result, exhibits similar temporal variations as the original source. Asymptotically,  also prove that the regenerated trajectory yields the same time variations as the given dynamic information. When cascaded with our previously proposed harmonic filtering algorithm to separate mixed voiced signals, the new trajectory regeneration is shown to be very effective to reduce mean squared errors by 82.2% and 69.5%, relatively, with ideal and approximated dynamic information, respectively
['Siu Wa Lee', 'Frank K. Soong', 'Pak-Chung Ching']
I am writing a research paper on a idea An Iterative Trajectory Regeneration Algorithm for Separating Mixed Speech Sources
[{"from": "human", "value": "I am writing a research paper on a idea An Iterative Trajectory Regeneration Algorithm for Separating Mixed Speech Sources"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Harmonicity and continuity are two important perceptual cues for separating mixed speech sources.  focuses on the separation of two speech sources with a single-microphone input. An iterative, least-squares (LS) based trajectory regeneration algorithm is proposed to estimate the magnitude spectrum of each source. Time-derivatives of the spectrum, or the dynamic spectral information, is used as a constraint in solving the resultant ighted normal equations. Each estimated spectral trajectory, as a result, exhibits similar temporal variations as the original source. Asymptotically,  also prove that the regenerated trajectory yields the same time variations as the given dynamic information. When cascaded with our previously proposed harmonic filtering algorithm to separate mixed voiced signals, the new trajectory regeneration is shown to be very effective to reduce mean squared errors by 82.2% and 69.5%, relatively, with ideal and approximated dynamic information, respectively"}]