Abstract
In this paper, we use a wireless sensor node to investigate the relationship between vocal art composition and human body noise. For the vocal music, the suggested predictor created a wireless sensor node convergence link model and the HART graph routing model is used to systematically design the human noise science. The wireless sensor node optimizes the acquisition of information on vocal art and analyzes the acoustic signal characteristics. The optimally balanced scheduling model has been used to scientifically and distributedly regulate vocal art performance and human body noise. The proposed model enhances the signal detection ability and raises the performance level of vocal art, music art, and human body noise signal. The results of the simulation demonstrate that the proposed model enhances the signal acquisition capability of vocal music and the analysis of human noise. It has a powerful ability to generate vocal signal characteristics and a stronger ability to handle interference with noise.
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