Research on the Integration Path of College Vocal Music Teaching and Traditional Music Culture Based on Deep Learning

Applied Mathematics and Nonlinear Sciences, Год журнала: 2023, Номер 9(1)

Опубликована: Ноя. 22, 2023

Abstract In this paper, we first start from extracting music features and analyze the extraction methods for time-domain, frequency-domain, cepstrum-domain of music. Next, logistic regression model is used to recognize deal with two-class multi-class classification problems. To extract text features, a CNN-SVM-based proposed using deep learning teaching practice structure. Finally, feature selection experiments are carried out on extracted raw set various algorithms optimize reduce classifier computation. The results show that average number items selected improved correlation coefficient method 64, mostly distributed between 58 72. data verifies can effectively traditional music, improve accuracy classification, thus promote development fusion culture vocal in colleges universities.

Язык: Английский

Research on the Comparative Development of Modern Popular Music and Traditional Music Culture in Colleges and Universities in the Age of Artificial Intelligence

Applied Mathematics and Nonlinear Sciences, Год журнала: 2023, Номер 9(1)

Опубликована: Дек. 5, 2023

Abstract In this paper, the forward neural network multi-feature fusion algorithm is used to extract emotional features of music culture on artificial intelligence technology, considering diversity and intermittency study, which needs be parameterized. architecture, activation value obtained by using nonlinear function used, results are passed next layer data realize layer-by-layer computation, leads back-propagation function. The emotion classification model constructed based propagation mode determine recognition process. research object selected, process determined, in order ensure true validity research, it necessary test reliability design scheme develop an empirical analysis comparison between popular traditional culture. show that model, especially sacred, sad, passionate type accuracy reached more than 88.2%. This paper’s can improve a certain extent. ontological knowledge culture, all three editions textbooks general predominant has large proportion, appreciation extended also considerable, least small proportion. study demonstrates synergistic development modern music, great significance education colleges universities.

Язык: Английский