Application of Information Teaching in Vocal Music Assisted Practice in Mobile Internet Era

Abstract

Vocal music practices using the internet and mobile computing rely on the distinguishable pitch, note, and musical library information for ease of understanding. For addressing this problem an Assisted Data Processing Model for Tutor Function (ADPM-TF) is projected in this article. The proposed model learns the user requirements and their improvements based on training hours. The learned inputs are validated for the mishandled tutor sessions for identifying errors. The tutor assistance based on independent and joint (fused) data is recommended by the neural network learning based on previous session user performance/ rating. This process is streamlined depending on the user preference and switching ability over various sessions. The performance is validated using the metrics assistance ratio, error, processing time, and fusion rate.