Abstract
Ubiquitous sensors cover many areas of modern society. As the sensor network matures, various applications based on the Internet of Things are setting off a new revolution in all aspects of social life. In order to in-depth study whether the Internet of Things technology can be used in the automatic evaluation of piano performance, this article uses artificial system comparison method, database establishment method, and model construction method to collect samples, analyze the automatic evaluation model, and streamline the algorithm, and based on these foundations, a practical automatic evaluation system for piano performance was created. However, the role of this article does not stop there. There are also a variety of algorithm-like models and the construction of technical models. First, the practicality of the created model is studied, and it is found that the traditional manual recognition rate is about 52%, while the recognition rate of the system in this paper is more than 90%, and the average recognition time of the system is 1.1 s. The start-up process and recognition process time of other systems are all no more than 6 s, indicating the superior performance of the system. On this basis, select the classic piano textbook: Thompson’s Simple Piano Tutorial. From it, select representative pieces as test samples. We can find that the overall F-measure value is above 90%, and the average F-measure value is 96.8%; the system performance test is good and can provide accurate evaluation results for piano learners. The results show that the number of identifications and missing numbers of the system are not much different from those of manual identification, which further proves its superiority. It is basically realized that starting from the Internet of Things technology, a system model that can automatically evaluate most piano repertoires has been designed.
Highlights
With such a fulfilling material life, the pursuit of spiritual food has become the yearning of most people
There is a strong correlation between the data between the modules in this system, so the relational database MySQL is used as the database of the system. e main data includes the user’s login information, the score file and its corresponding series of pictures and data files, the recording file uploaded by the user and the corresponding evaluation data, etc. e following focuses on the design of the core data table in this system, and the functions of the entire system can be completed through the association between the data tables
In order to achieve this goal, this paper uses the algorithm model combination method, parameter setting method, and system platform construction method to integrate the system and algorithm, so as to ensure the integrity of the system. us, an effective automatic evaluation system can be formed. e first step is to study whether the system can be applied in practice
Summary
Received 23 August 2021; Revised 27 September 2021; Accepted 6 October 2021; Published 14 October 2021. In order to in-depth study whether the Internet of ings technology can be used in the automatic evaluation of piano performance, this article uses artificial system comparison method, database establishment method, and model construction method to collect samples, analyze the automatic evaluation model, and streamline the algorithm, and based on these foundations, a practical automatic evaluation system for piano performance was created. E start-up process and recognition process time of other systems are all no more than 6 s, indicating the superior performance of the system. On this basis, select the classic piano textbook: ompson’s Simple Piano Tutorial. It is basically realized that starting from the Internet of ings technology, a system model that can automatically evaluate most piano repertoires has been designed
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
