{"title":"基于人工智能的音乐语音质量理论评价模型构建","authors":"Xingye Su, Hua Chen","doi":"10.1109/ICVRIS.2019.00072","DOIUrl":null,"url":null,"abstract":"The research on the construction of evaluation model of music pronunciation quality theory has always been a hot topic. Music pronunciation quality has a direct impact on the reliability of assessment results. Traditional methods of music pronunciation quality analysis mainly analyze the pronunciation problem of music through the statistical index, but the statistical index cannot In order to improve the quality of detecting music, this paper presents a theory model of evaluating the quality of music pronunciation based on the fusion of artificial intelligence technology. Under the premise of meeting the interval constraints, according to the pronunciation theory of music The sample generated artificial intelligence tree, and evaluated the quality of music pronunciation according to artificial intelligence tree. Finally, the validity, the efficiency and the scalability of the model were verified through experiments.","PeriodicalId":294342,"journal":{"name":"2019 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Construction of Music Pronunciation Quality Theory Evaluation Model Based on Artificial Intelligence\",\"authors\":\"Xingye Su, Hua Chen\",\"doi\":\"10.1109/ICVRIS.2019.00072\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The research on the construction of evaluation model of music pronunciation quality theory has always been a hot topic. Music pronunciation quality has a direct impact on the reliability of assessment results. Traditional methods of music pronunciation quality analysis mainly analyze the pronunciation problem of music through the statistical index, but the statistical index cannot In order to improve the quality of detecting music, this paper presents a theory model of evaluating the quality of music pronunciation based on the fusion of artificial intelligence technology. Under the premise of meeting the interval constraints, according to the pronunciation theory of music The sample generated artificial intelligence tree, and evaluated the quality of music pronunciation according to artificial intelligence tree. Finally, the validity, the efficiency and the scalability of the model were verified through experiments.\",\"PeriodicalId\":294342,\"journal\":{\"name\":\"2019 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICVRIS.2019.00072\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICVRIS.2019.00072","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Construction of Music Pronunciation Quality Theory Evaluation Model Based on Artificial Intelligence
The research on the construction of evaluation model of music pronunciation quality theory has always been a hot topic. Music pronunciation quality has a direct impact on the reliability of assessment results. Traditional methods of music pronunciation quality analysis mainly analyze the pronunciation problem of music through the statistical index, but the statistical index cannot In order to improve the quality of detecting music, this paper presents a theory model of evaluating the quality of music pronunciation based on the fusion of artificial intelligence technology. Under the premise of meeting the interval constraints, according to the pronunciation theory of music The sample generated artificial intelligence tree, and evaluated the quality of music pronunciation according to artificial intelligence tree. Finally, the validity, the efficiency and the scalability of the model were verified through experiments.