Sound Similarities and Differences in Vocal Chorus and Solo Artistic Performance: Based on Remote Fuzzy Signal Recognition and Intelligent Analysis Algorithm

This paper proposes a feature recognition method for feature extraction and remote fuzzy signal recognition. This method extracts the features of vocal vibration signals based on wavelet packet transform. Chorus mainly expresses the integrity, which can be regarded as a combined performance form of multiple solo performances. For chorus, the fuzzy transfer closure method is used to analyze the signal. To identify and analyze the characteristic frequency bands of vocal music chorus and solo art performance, to realize the analysis of the sound similarities and differences in the artistic performance of vocal chorus and solo, pay more attention to the unity and coordination, the artistic aesthetics is different from the solo performance, and it is shown to people in its unique form.