An Intelligent Evaluation Algorithm for the Matching Degree of Music Lyrics Based on LabVIEW Digital Image

The emotion matching model is a method suitable for evaluating the matching degree of words and songs, but only through the emotion matching model cannot make a correct evaluation for evaluating the matching degree of words and songs. In order to improve this problem, this paper proposes an intelligent evaluation algorithm for the matching degree of lyrics and songs based on LabVIEW digital images. On the basis of analyzing the relationship between LabVIEW digital images and music melody, emotional feature analysis technology and algorithm description, the MagnaTagATune data set and the MusiClef data set are selected. And the 300 music in the MirexMood dataset to verify the model matching effect through experiments. The experimental results show that the calculation model can reasonably evaluate the emotional content of music lyrics, and make accurate and intelligent evaluation of music.