White noise data processing method for intelligent wooden players

The invention relates to the technical field of sound signal denoising, in particular to a white noise data processing method for an intelligent wooden toy, and the method comprises the steps: collecting time sequence data of white noise signals of the intelligent wooden toy, obtaining white noise signal data segments, and determining the number of fitting points corresponding to each white noise signal data segment; screening fitting points in each white noise signal data segment based on the number of the fitting points, and performing signal curve fitting to obtain an initial baseline signal curve; analyzing each initial baseline signal curve to obtain an evaluation objective function corresponding to each initial baseline signal curve; and determining an optimal baseline signal curve according to the evaluation objective function, and adjusting a white noise signal by using the optimal baseline signal curve to obtain a white noise signal after baseline drift removal. The method provided by the invention h