{"title":"俄语自动识别系统的设计","authors":"Yang Wang","doi":"10.1145/3568739.3568762","DOIUrl":null,"url":null,"abstract":"Language recognition is also called language recognition. Its purpose is to enable the computer to automatically recognize the language type according to an input speech. Language identification is widely used in the fields of network security, authentication, multilingual information services and so on. Nowadays, the increasingly open international environment and the rapid development of the Internet have brought new challenges to language recognition. Based on the previous research results, this paper designs and implements a language recognition system based on Gaussian mixture model unified background model (GMM UBM), mainly from the feature extraction module, UBM model training module, language model training module and language recognition module.","PeriodicalId":200698,"journal":{"name":"Proceedings of the 6th International Conference on Digital Technology in Education","volume":"47 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Design of Automatic Russian Language Recognition System\",\"authors\":\"Yang Wang\",\"doi\":\"10.1145/3568739.3568762\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Language recognition is also called language recognition. Its purpose is to enable the computer to automatically recognize the language type according to an input speech. Language identification is widely used in the fields of network security, authentication, multilingual information services and so on. Nowadays, the increasingly open international environment and the rapid development of the Internet have brought new challenges to language recognition. Based on the previous research results, this paper designs and implements a language recognition system based on Gaussian mixture model unified background model (GMM UBM), mainly from the feature extraction module, UBM model training module, language model training module and language recognition module.\",\"PeriodicalId\":200698,\"journal\":{\"name\":\"Proceedings of the 6th International Conference on Digital Technology in Education\",\"volume\":\"47 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-09-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 6th International Conference on Digital Technology in Education\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3568739.3568762\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 6th International Conference on Digital Technology in Education","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3568739.3568762","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Design of Automatic Russian Language Recognition System
Language recognition is also called language recognition. Its purpose is to enable the computer to automatically recognize the language type according to an input speech. Language identification is widely used in the fields of network security, authentication, multilingual information services and so on. Nowadays, the increasingly open international environment and the rapid development of the Internet have brought new challenges to language recognition. Based on the previous research results, this paper designs and implements a language recognition system based on Gaussian mixture model unified background model (GMM UBM), mainly from the feature extraction module, UBM model training module, language model training module and language recognition module.