Computer Analysis and Automatic Recognition Technology of Music Emotion

Abstract

With the rapid development of the related computer industry, the use of computer-related technologies has become more and more frequent. The music industry is no exception. The research and analysis of music emotions has been a problem since ancient times. Due to the diversification of music emotions, people with different music in the same piece of music will have different feelings. The research topic of this article is to make a comprehensive analysis of the computer’s automatic identification technology, combined with the powerful subcapacity of the computer, so that the research on music emotion can be developed rapidly. The article analyzes the technical research of the automatic recognition and analysis of music emotion in the computer, and conducts a comprehensive analysis of the music emotion through the research of the computer-related automatic recognition technology. This paper focuses on the computer automatic recognition model of music emotion, and successfully realizes the design and simulation of the automatic recognition system based on the MATLAB platform. An automatic identification model using BP neural network algorithm is proposed. By comparing it with the statistical classification algorithm, the experimental results verify the effectiveness of the designed BP network in music emotion recognition.

[Retracted] Intelligent Classification Model of Music Emotional Environment Using Convolutional Neural Networks

“…Xiang proposed using principal component analysis (PCA) and grammar-based model to extract and select the features of texts and then combined it with the learning framework of support vector machine to classify them. They verified and evaluated the models on corpus data sets [ 10 ]. Lin et al put forward a research method of text emotion classification based on semantic understanding.…”

Augmented Physics-Informed Neural Networks and Seahorse Optimization Algorithm for Music Scene Simulation and Emotion Regulation in Virtual Reality Technology

“…For instance, research has shown that music can trigger ANS reactions such as vascular constriction, heart rate fluctuations, muscle tension, and changes in skin temperature (SKT), even when subjects report reduced anxiety and increased relaxation [18]. The study revealed distinct associations between emotions and physiological changes; happiness manifested in significant alterations in respiration, sadness correlated with pronounced changes in blood pressure, heart rate, and SKT, while fear exhibited the highest change in blood flow velocity [19].These findings suggest that music doesn't merely convey easily recognizable emotions but actively generates genuine emotions in the listener [20]. However, the extent to which changes in the ANS and distinctions in musical emotions align with those observed in non-musical emotions remains unclear.…”

Teaching Strategies for Improving High School Music Appreciation

“…Only students with a solid foundation in music can combine their thoughts and emotions to correctly evaluate music theoretically. [2] Therefore, in order to cultivate students' music appreciation ability, teachers need to effectively teach students the basic knowledge of music and help them continuously improve their appreciation ability.…”