{"title":"基于词法分析器的语音识别集成框架","authors":"B. Sujatha, B. Vanajakshi, K. Nirmala","doi":"10.1109/ICSTCEE49637.2020.9276996","DOIUrl":null,"url":null,"abstract":"First and foremost method of communication between humans is through speech. Speech is the most powerful communication tool if it is used in an appropriate way. These days English has become the most prominent and most used language for interaction between literates. Good communication is possible only if vocabulary of the preferred language is used appropriately. We have found need of a system which analyzes the vocabulary used in the spoken audio which is referred to as speech. This system developed an Integrated Framework for Speech Analysis using Lexical Analyzer (SALA). This system is used in several areas of concern such as in teaching, employment, communication skills, one’s dexterity in English vocabulary. The proposed SALA takes input an audio which consists of English speech. This audio is parallelly recorded and also converted into text and is passed through tokenizer and lexical analyzer, then compared with GSL to create a report of the vocabulary levels used by the speaker in the input audio. This system uses the most popular Speech to Text Conversion to analyze the speech which is a peculiar branch of Artificial Intelligence.","PeriodicalId":113845,"journal":{"name":"2020 International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"SALA-An Integrated Framework for Speech Recognition Using Lexical Analyzer\",\"authors\":\"B. Sujatha, B. Vanajakshi, K. Nirmala\",\"doi\":\"10.1109/ICSTCEE49637.2020.9276996\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"First and foremost method of communication between humans is through speech. Speech is the most powerful communication tool if it is used in an appropriate way. These days English has become the most prominent and most used language for interaction between literates. Good communication is possible only if vocabulary of the preferred language is used appropriately. We have found need of a system which analyzes the vocabulary used in the spoken audio which is referred to as speech. This system developed an Integrated Framework for Speech Analysis using Lexical Analyzer (SALA). This system is used in several areas of concern such as in teaching, employment, communication skills, one’s dexterity in English vocabulary. The proposed SALA takes input an audio which consists of English speech. This audio is parallelly recorded and also converted into text and is passed through tokenizer and lexical analyzer, then compared with GSL to create a report of the vocabulary levels used by the speaker in the input audio. This system uses the most popular Speech to Text Conversion to analyze the speech which is a peculiar branch of Artificial Intelligence.\",\"PeriodicalId\":113845,\"journal\":{\"name\":\"2020 International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-10-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSTCEE49637.2020.9276996\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSTCEE49637.2020.9276996","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
SALA-An Integrated Framework for Speech Recognition Using Lexical Analyzer
First and foremost method of communication between humans is through speech. Speech is the most powerful communication tool if it is used in an appropriate way. These days English has become the most prominent and most used language for interaction between literates. Good communication is possible only if vocabulary of the preferred language is used appropriately. We have found need of a system which analyzes the vocabulary used in the spoken audio which is referred to as speech. This system developed an Integrated Framework for Speech Analysis using Lexical Analyzer (SALA). This system is used in several areas of concern such as in teaching, employment, communication skills, one’s dexterity in English vocabulary. The proposed SALA takes input an audio which consists of English speech. This audio is parallelly recorded and also converted into text and is passed through tokenizer and lexical analyzer, then compared with GSL to create a report of the vocabulary levels used by the speaker in the input audio. This system uses the most popular Speech to Text Conversion to analyze the speech which is a peculiar branch of Artificial Intelligence.