The Piano-Assisted Teaching System Based on an Artificial Intelligent Wireless Network

Abstract

In the recent technological era, we can note a tremendous development in the information technology sector, which has made all other sectors work to face a revolution and profit. In comparison with other organizations, educational departments have shown the best utilization of technology in their teaching and learning process. Teaching and learning (TaL) music and musical instruments are very challenging for teachers and students of remote areas. In this research work, TaL of piano playing is considered for the study by taking the MIDI and Audio Edited for Synchronous TRacks and Organization (MAESTRO) dataset. This dataset has virtual recorded piano performances with a label for notes and audio waveforms. The multiple signal classification (MSC) algorithm with the artificial intelligence (AI) is implemented on the dataset to train the students with artificial intelligence’s support. This MSC algorithm is executed on wireless networks (WN) to classify the signal data after recording and updating the dataset. With the help of the MSC algorithm with WN, the selection of teachers becomes easier for the student. This proposed work shows effective results for the TaL performance.