Spanish folk music is characterized primarily by folk song tunes, dance rhythms, and folk instrumental music. This paper combines the understanding of the artistic expression of “7 Spanish Folk Songs” and “Don Quixote to the Intended One” music works, proposes to start the sound envelope computation to perceive the music beat, and utilizes the dynamic planning algorithm for real-time tracking. Combined with the three-dimensional model of stereo-visual rendering, an interactive module for presenting Spanish folk music has been established. The selected dataset, the dynamic programming algorithm of this paper, and other algorithms are used to compare the results of music beat recognition. Design the questionnaire of instinctive layer emotional experience and behavioral layer emotional experience, analyze and process the research data, and compare the advantages and disadvantages of the traditional music presentation with the music embodiment of the augmented reality group. This paper proposes a music beat recognition algorithm that has the advantage of real-time detection. In terms of automatic music emotional experience, the mean values of instinctive layer emotional experience for the traditional group and augmented reality group are 5.22 points and 6.125 points, respectively. By combining reality and information interaction, the augmented reality group is more adept at conveying the flavors and art of Spanish national music.