{"title":"外语学习者语音错误的音位序列提取","authors":"Kohei Kamimura, Kosuke Takano","doi":"10.1109/PACRIM47961.2019.8985130","DOIUrl":null,"url":null,"abstract":"This paper presents a method for extracting phoneme sequences in foreign language pronunciation learning that a learner is likely to mispronounce. Some conventional methods show a learner’s phoneme errors using speech recognition technology. Those systems simply show only one phoneme error that the learner makes; they show no analytical results of phoneme errors that arise from previous or later phoneme sequences. A feature of the proposed method is the ability to extract a phoneme that a learner is likely to mispronounce as an n-gram sequence rather than a single phoneme. We confirm the feasibility of our method with several experiments using a prototype of our learning system.","PeriodicalId":152556,"journal":{"name":"2019 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Phoneme Sequence Extraction of Learner’s Pronunciation Errors for Foreign Language Learning\",\"authors\":\"Kohei Kamimura, Kosuke Takano\",\"doi\":\"10.1109/PACRIM47961.2019.8985130\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a method for extracting phoneme sequences in foreign language pronunciation learning that a learner is likely to mispronounce. Some conventional methods show a learner’s phoneme errors using speech recognition technology. Those systems simply show only one phoneme error that the learner makes; they show no analytical results of phoneme errors that arise from previous or later phoneme sequences. A feature of the proposed method is the ability to extract a phoneme that a learner is likely to mispronounce as an n-gram sequence rather than a single phoneme. We confirm the feasibility of our method with several experiments using a prototype of our learning system.\",\"PeriodicalId\":152556,\"journal\":{\"name\":\"2019 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM)\",\"volume\":\"27 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PACRIM47961.2019.8985130\",\"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 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PACRIM47961.2019.8985130","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Phoneme Sequence Extraction of Learner’s Pronunciation Errors for Foreign Language Learning
This paper presents a method for extracting phoneme sequences in foreign language pronunciation learning that a learner is likely to mispronounce. Some conventional methods show a learner’s phoneme errors using speech recognition technology. Those systems simply show only one phoneme error that the learner makes; they show no analytical results of phoneme errors that arise from previous or later phoneme sequences. A feature of the proposed method is the ability to extract a phoneme that a learner is likely to mispronounce as an n-gram sequence rather than a single phoneme. We confirm the feasibility of our method with several experiments using a prototype of our learning system.