Musical “Covers” and the Culture Industry

Abstract

This essay foregrounds “covers” of popular recorded songs as well as male and female desire, in addition to Nietzsche’s interest in composition, together with his rhythmic analysis of Ancient Greek as the basis of what he called the “spirit of music” with respect to tragedy. The language of “sonic branding” allows a discussion of what Günther Anders described as the self-creation of mass consumer but also the ghostly time-space of music in the broadcast world. A brief allusion to Rilke complements a similarly brief reference to Jankelevitch’s “ineffable.”

The Auxiliary Role of Artificial Intelligence in the Intelligent Creation and Conducting of Symphony

“…It can be known from expression (11) that the gain of the capacitance multiplier circuit can be adjusted linearly only by changing the control voltage V b of the cross-coupled POTA, and it is easy to control and implement.…”

“…Specifically, performers can cultivate their aesthetic feelings for a symphony by regularly enjoying symphonies, concertos, symphonic suites, overtures, and symphonic poems. Appreciating these works helps performers to accurately grasp the emotional input of the works [11]. e correct use of emotional factors in symphony performance can help performers to accurately grasp the rhythm, rhythm and playing speed, accurately grasp the intonation and pronunciation in the performance, and improve the expressiveness of symphony performance skills.…”

Music Genre Classification Algorithm Based on Multihead Attention Mechanism

“…With the development of modern network, the scale of digital music continues to increase. Hence, music retrieval technology (MIR) has received more attention, and music emotion classification, as the most basic problem in many related fields of music, has received more attention as well [8]. For music emotion classification, the most common method is to analyze the acoustic features extracted from music to obtain emotion classification results.…”

Digital Music Waveform Analysis and Retrieval Based on Feature Extraction Algorithm

“…Or, according to the similarity of scores, the music in the database is sorted to automatically generate a playback sequence table of music so that music with similar styles can be played continuously. ere are others that analyze music from the beat and rhythm, such as the literature [8] using beat detection to do chord detection. Literature [9] studied music analysis from the perspective of beats and made useful explorations.…”