Abstract
MT (multimedia technology) music teaching has changed the rigid, unitary, and boring teaching form of traditional music teaching, which has made a comprehensive breakthrough and impact on traditional university music education and has shown a brand-new teaching form to contemporary college students, greatly increasing their strong interest in learning music. In this paper, an objective evaluation method of vocal music quality based on the comparison of sound parameter characteristics is proposed by using the technology of sound signal parameter analysis and extraction. Through confidence measure, reliable data are selected for online adaptive updating of Gaussian mixture model, and the recognition results are smoothed to further remove the instantaneous mutation error. The main melody of singing is discriminated by fundamental frequency discrimination model. Experiments show that the overall accuracy rate of the main melody of vocal music extracted by this algorithm is 86.24%.
Highlights
MT is the product of the progress of the times and the demand of educational development [1]
College vocal music teachers should gain a scientific understanding of the value of MT, find the best combination of technology and vocal music teaching, promote innovation and reform in the vocal music teaching mode, and improve the efficiency and quality of vocal music instruction
Literature [22] calculates the saliency function using the source-filter model and harmonic weighting, extracts several candidate melody lines based on melody continuity, and locates the song melody and extracts the main melody based on a set of candidate melody line characteristics
Summary
MT (multimedia technology) is the product of the progress of the times and the demand of educational development [1]. With the development of the times and the progress of science and technology, MTand its related teaching methods have gradually played an increasingly important role in China’s higher education system because of their synchronization, integration, and interactivity [2]. Erefore, it is of great practical and promotional value to study and develop an intuitive and easy-to-operate interactive multimedia vocal music teaching system. Music education at the university level is an important part of modern education It enriches young students’ after-school activities, and provides them with another professional skill, allowing them to enter society with a skill [5]. Scientific Programming paper, an objective evaluation method of vocal music quality based on the comparison of sound parameter characteristics is proposed by using the technology of sound signal parameter analysis and extraction. In the song melody positioning part, based on the difference of timbre between song and accompaniment, the fundamental frequency discrimination model using neural network is added, and the probability that the dominant fundamental frequency track belongs to song melody based on subsection statistics can effectively reduce the false alarm rate of melody positioning and improve the overall accuracy
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