Abstract
Investigators publish new report on artificial intelligence. According to news originating from Guilin, People's Republic of China, by NewsRx correspondents, research stated, “In this paper, the Skip-gram model is used to process the main melody information of contextualized music, combining feature extraction and Schenkel analysis to extract the main melody note sets and vectors.” The news editors obtained a quote from the research from Guilin Tourism University: “By applying the short-time Fourier transform (STFT) to the audio signal, the spectral center of mass and irregularities can be calculated to represent the emotional features of the music. To obtain music features based on wavelet coefficients, the music signal is decomposed, and each scale's signal features are counted individually. Finally, by taking the musical elements as independent variables and the perceived results of pleasure and activation in the contextual model as dependent variables, we compared the variability of the dynamic associations between emotional perceptions and the musical elements among different contextualized music pieces.”
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