Vocal Aesthetic Appreciation and Evaluation System based on Information Flow and Template Signal Matching Algorithm

Vocal aesthetic appreciation and evaluation system based on information flow and the template signal matching algorithm is designed in the paper. Considering the effectiveness of the comprehensive template analysis framework, when clutter is screened and removed, most of the clutter can be removed as long as the part of the coefficient energy formed by the local maximum mode of the wavelet transform is removed. Therefore, there is still insufficient investment in the core research of task definition method integrating process flow and information flow that can meet the technical requirements of active information sharing, hence, the template signal matching algorithm combined the data mining framework is considered to design a novel evaluation system. By testing the proposed experiment, the comparative analysis results are proven to be efficient.