Objective: To explore the overlap between adjacent frequency bands in equalization filters, and an audio
clipping and splicing algorithm based on Fourier transform is proposed. Methods: Aiming at the speech collected in the
real scene, noise reduction is carried out on the graph filter based on Fourier transform. The audio processing effects
before and after using audio clipping and splicing algorithm are compared, and the speech waveform diagram and
spectrogram are drawn. Results: In the filter with audio clipping and splicing algorithm, the problem of overlapping
between adjacent frequency bands can be effectively solved and the pulse disturbance can be avoided. Conclusions: The
audio clipping and splicing algorithm based on Fourier transform can effectively solve the overlapping problem between
adjacent frequency bands of equalization filter, and can be used in many audio processing scenarios such as speech noise
reduction and speech enhancement.