{"title":"使用隐马尔可夫模型的视障语音电子邮件系统","authors":"Supriyaa C, S. Anu Priya","doi":"10.48175/ijetir-1203","DOIUrl":null,"url":null,"abstract":"The paper aims to develop a voice-based email system utilizing Hidden Markov Models (HMMs) for speech recognition. In an era where multitasking and hands-free interaction are paramount, this system offers a convenient and intuitive way for users to manage their emails through natural spoken commands. Leveraging a diverse dataset of voice recordings and corresponding text transcripts, HMMs are trained to recognize various email related commands such as composing new emails, reading inbox contents, replying to messages, and more.","PeriodicalId":341984,"journal":{"name":"International Journal of Advanced Research in Science, Communication and Technology","volume":" 29","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Voice Based E-Mail System for Visually Impaired using Hidden Markov Models\",\"authors\":\"Supriyaa C, S. Anu Priya\",\"doi\":\"10.48175/ijetir-1203\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper aims to develop a voice-based email system utilizing Hidden Markov Models (HMMs) for speech recognition. In an era where multitasking and hands-free interaction are paramount, this system offers a convenient and intuitive way for users to manage their emails through natural spoken commands. Leveraging a diverse dataset of voice recordings and corresponding text transcripts, HMMs are trained to recognize various email related commands such as composing new emails, reading inbox contents, replying to messages, and more.\",\"PeriodicalId\":341984,\"journal\":{\"name\":\"International Journal of Advanced Research in Science, Communication and Technology\",\"volume\":\" 29\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-07-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Advanced Research in Science, Communication and Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.48175/ijetir-1203\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Advanced Research in Science, Communication and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.48175/ijetir-1203","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Voice Based E-Mail System for Visually Impaired using Hidden Markov Models
The paper aims to develop a voice-based email system utilizing Hidden Markov Models (HMMs) for speech recognition. In an era where multitasking and hands-free interaction are paramount, this system offers a convenient and intuitive way for users to manage their emails through natural spoken commands. Leveraging a diverse dataset of voice recordings and corresponding text transcripts, HMMs are trained to recognize various email related commands such as composing new emails, reading inbox contents, replying to messages, and more.