Development and Implementation of an Embedded Systems-Based Artificial Intelligence-Driven Music Teaching System for Vocational Colleges

Abstract

When the continuous advancement for the brand-new courses is undergoing, teaching for music courses, from the outdated closed teaching to open teaching. From the traditional pure manual teaching method to the use of artificial intelligence technology to assist teaching. Based on artificial intelligence technology, this paper builds and practices the music teaching system in vocational colleges, and draws the following conclusions: The bottleneck of the music teaching system in vocational colleges is the network bandwidth； In terms of music pitch extraction, the improved algorithm proposed in this paper has greatly improved the period, robustness and stability of the extracted signal compared with the traditional cepstrum method, and the periodic detection effect of pitch is obvious；Using virtual reality technology to create a virtual music classroom algorithm, by comparing with the other three algorithms, it is good for it；Compared with the P.563 method and the FDGSVM-based method under the ITU-T P. Supplement-23 Database, the music quality evaluation method studied in this paper improves the correlation coefficient with subjective evaluation and reduces the mean square error; Compared with the method based on FDGSVM, it has increased by 78.59%, but in terms of comprehensive performance, the improved method still has advantages and can effectively evaluate the quality of music.