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.
Highlights
Mobile Information Systems from wireless sensors and systemic monitoring of human body science
It investigates noise settings, noise extraction facilities, sound sampling quality, storage format, age of recorded items, number of recorded items, vocal music, and other topics and is of high standard and seriousness [12]. e study meets the standards by distinguishing between men and women, but the sound portion of the recorded object is unclear, and the kinds of sound signal collection and singing range are not defined. e preceding content is one of the most important factors determining the performance of Sound Music Art [13]
Is research presents a mathematical framework for vocal expression and the science of human noise based on wireless sensors and a wireless node of convergence sensor model of vocal art. e HARTgraph routing model is used to create a structured design for vocal art and noise science. e wireless sensor is designed to make the best use of node models, and the convergent connection gain control technique is used to control wireless sensor vocal art performance
Summary
Received 11 March 2021; Revised 7 April 2021; Accepted 21 April 2021; Published 29 April 2021. E Vocal Art Performance Network is suggested in conjunction with wireless sensors to capture artistic information of vocal music and gain control over the improvement of human body noise [5]. Wireless sensors are scientific and systemic ways of monitoring the expression of sound and noise art in the human body [7]. Some research findings were discovered, including a network activation node that suggested a scientific and systemic control method for the human voice of wireless sensors without sound and performance [8]. Ere are other problems with the control mechanism, such as less interference and less autonomous deployment capability [11] It investigates noise settings, noise extraction facilities, sound sampling quality, storage format, age of recorded items, number of recorded items, vocal music, and other topics and is of high standard and seriousness [12]. Simulation experiments are conducted in order to demonstrate the best performance of this technique in scientific and systemic performance and human noise analysis
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