{"title":"印度语文本到语音转换","authors":"Eesha Poonja A, Geeta Shet","doi":"10.1109/INDISCON53343.2021.9582198","DOIUrl":null,"url":null,"abstract":"Recognition of handwritten text and its conversion to speech is one of the most challenging areas of research because the most crucial step involved in this process is to identify the text written by different individuals which vary greatly in its appearance. In this paper, Hindi text to speech conversion has been proposed. Here an image of the handwritten Hindi text is preprocessed and segmented. Followed by that the segmented character is recognized and converted to speech. Support Vector Machine and projection method are the two main techniques used in this process.","PeriodicalId":167849,"journal":{"name":"2021 IEEE India Council International Subsections Conference (INDISCON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Hindi Text to Speech Conversion\",\"authors\":\"Eesha Poonja A, Geeta Shet\",\"doi\":\"10.1109/INDISCON53343.2021.9582198\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Recognition of handwritten text and its conversion to speech is one of the most challenging areas of research because the most crucial step involved in this process is to identify the text written by different individuals which vary greatly in its appearance. In this paper, Hindi text to speech conversion has been proposed. Here an image of the handwritten Hindi text is preprocessed and segmented. Followed by that the segmented character is recognized and converted to speech. Support Vector Machine and projection method are the two main techniques used in this process.\",\"PeriodicalId\":167849,\"journal\":{\"name\":\"2021 IEEE India Council International Subsections Conference (INDISCON)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-08-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE India Council International Subsections Conference (INDISCON)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/INDISCON53343.2021.9582198\",\"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 IEEE India Council International Subsections Conference (INDISCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INDISCON53343.2021.9582198","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Recognition of handwritten text and its conversion to speech is one of the most challenging areas of research because the most crucial step involved in this process is to identify the text written by different individuals which vary greatly in its appearance. In this paper, Hindi text to speech conversion has been proposed. Here an image of the handwritten Hindi text is preprocessed and segmented. Followed by that the segmented character is recognized and converted to speech. Support Vector Machine and projection method are the two main techniques used in this process.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
