{"title":"唇读日语句子数据集","authors":"Tatsuya Shirakata, T. Saitoh","doi":"10.23919/MVA51890.2021.9511353","DOIUrl":null,"url":null,"abstract":"This research is about lip-reading for Japanese sentences. Research on English sentences is actively pursued due to the extensive datasets. However, a sufficient dataset for Japanese sentences has not been released. Therefore, this paper builds a Japanese sentence dataset. A Transformer model is used for the recognition task. Three recognition target levels: phoneme, mora, and vowel, are set, and recognition experiments show that they can be recognized.","PeriodicalId":312481,"journal":{"name":"2021 17th International Conference on Machine Vision and Applications (MVA)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Japanese Sentence Dataset for Lip- reading\",\"authors\":\"Tatsuya Shirakata, T. Saitoh\",\"doi\":\"10.23919/MVA51890.2021.9511353\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This research is about lip-reading for Japanese sentences. Research on English sentences is actively pursued due to the extensive datasets. However, a sufficient dataset for Japanese sentences has not been released. Therefore, this paper builds a Japanese sentence dataset. A Transformer model is used for the recognition task. Three recognition target levels: phoneme, mora, and vowel, are set, and recognition experiments show that they can be recognized.\",\"PeriodicalId\":312481,\"journal\":{\"name\":\"2021 17th International Conference on Machine Vision and Applications (MVA)\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-07-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 17th International Conference on Machine Vision and Applications (MVA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/MVA51890.2021.9511353\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 17th International Conference on Machine Vision and Applications (MVA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/MVA51890.2021.9511353","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This research is about lip-reading for Japanese sentences. Research on English sentences is actively pursued due to the extensive datasets. However, a sufficient dataset for Japanese sentences has not been released. Therefore, this paper builds a Japanese sentence dataset. A Transformer model is used for the recognition task. Three recognition target levels: phoneme, mora, and vowel, are set, and recognition experiments show that they can be recognized.
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