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In this paper, the research of human emotional intelligence recognition and classification algorithm in the complex system of music performance is proposed. Through the recognition of SVM, KNN, ANN, and ID3 classifiers, the accuracy of a single classifier is compared, and then the four classifiers are combined to compare the classification accuracy of audio signals before and after preprocessing. The results show that the accuracy of SVM and ANN fusion is the highest. Finally, recall and <jats:italic>F<\/jats:italic>1 are comprehensively compared in the fusion algorithm, and the fusion classification effect of SVM and ANN is better than that of the algorithm model.<\/jats:p>","DOI":"10.1155\/2021\/4251827","type":"journal-article","created":{"date-parts":[[2021,6,24]],"date-time":"2021-06-24T22:05:06Z","timestamp":1624572306000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Research on Intelligent Recognition and Classification Algorithm of Music Emotion in Complex System of Music Performance"],"prefix":"10.1155","volume":"2021","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1870-3145","authenticated-orcid":false,"given":"Daliang","family":"Wang","sequence":"first","affiliation":[]},{"given":"Xiaowen","family":"Guo","sequence":"additional","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2021,6,24]]},"reference":[{"key":"e_1_2_8_1_2","doi-asserted-by":"publisher","DOI":"10.13088\/jiis.2018.24.4.197"},{"key":"e_1_2_8_2_2","doi-asserted-by":"publisher","DOI":"10.9709\/JKSS.2017.26.4.023"},{"key":"e_1_2_8_3_2","doi-asserted-by":"crossref","unstructured":"WangM.andWangY. 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