Folk Music Audio Enhancement Method Combining Internet of Things and GA

Abstract

The current methods of music sound enhancement mainly use the way of enhancing the intensity of the sound source, which ignores the spatial noise cancellation of the human ear, resulting in poor sound enhancement effect. Therefore, this paper proposes an audio enhancement method for folk music combining Internet of Things and GA. After acquiring folk music audio by Internet of Things technology, the postprocessing algorithm of wavelet packet decomposition combined with Wiener filter is used to suppress the noise in music. On the basis of HRTF, genetic algorithm is used to reduce the output error of left and right sound channels and realize the enhancement of music sound effect. The simulation experiment verifies the method of application research. The reverberation is established at 65 ms and lasts for a long time, which has good effect of sound enhancement.