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.
With the development of science and technology, more and more emerging technologies have been integrated into electronic music, forming a rich and diverse form of interactive electronic music. This research mainly discusses the collaborative music creation method based on bit matrix code image acquisition. In the decoding process, the displacement value of each point should be determined according to the direction and distance from the point to the reference point of the corresponding grid raster. This article marks the position characteristics of image symbols according to the dot matrix code notation defined in the improved coding method. After searching for a pair of dot codes with the shortest distance in the horizontal or vertical direction, starting from the first code point in the vertical direction and following the second code point. Through the above method, it is possible to accurately construct the grid raster lines of the dot matrix position encoding symbol image formed after the improved encoding, so that the decoding of the dot matrix symbol image is more accurate, and the composition translation is reduced. The improved coding method reduces the error of the origin matrix code by about 0.11 mm as a whole. This research will realize the collaborative recording of data in the music creation process, which will bring great convenience to creators.
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