{"title":"基于hmm的语音识别技术研究","authors":"Chunhao Huang, Zhiyuan Zhu, Jing Guo","doi":"10.1109/IWECAI50956.2020.00021","DOIUrl":null,"url":null,"abstract":"We are in an era of informatization and big data. In this context, speech data are increasing and becoming more and more frequently used. When we choose and use a lot of speech information on the Internet, speech recognition technology shows its great importance. In this paper, by studying speech signal preprocessing, HMM model, MFCC feature parameter extraction and other technologies, a speech recognition algorithm based on HMM is derived to achieve a more accurate result of speech words and phrases.","PeriodicalId":364789,"journal":{"name":"2020 International Workshop on Electronic Communication and Artificial Intelligence (IWECAI)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Investigations of HMM-Based Speech Recognition Technology\",\"authors\":\"Chunhao Huang, Zhiyuan Zhu, Jing Guo\",\"doi\":\"10.1109/IWECAI50956.2020.00021\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We are in an era of informatization and big data. In this context, speech data are increasing and becoming more and more frequently used. When we choose and use a lot of speech information on the Internet, speech recognition technology shows its great importance. In this paper, by studying speech signal preprocessing, HMM model, MFCC feature parameter extraction and other technologies, a speech recognition algorithm based on HMM is derived to achieve a more accurate result of speech words and phrases.\",\"PeriodicalId\":364789,\"journal\":{\"name\":\"2020 International Workshop on Electronic Communication and Artificial Intelligence (IWECAI)\",\"volume\":\"35 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 International Workshop on Electronic Communication and Artificial Intelligence (IWECAI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IWECAI50956.2020.00021\",\"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 Workshop on Electronic Communication and Artificial Intelligence (IWECAI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IWECAI50956.2020.00021","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Investigations of HMM-Based Speech Recognition Technology
We are in an era of informatization and big data. In this context, speech data are increasing and becoming more and more frequently used. When we choose and use a lot of speech information on the Internet, speech recognition technology shows its great importance. In this paper, by studying speech signal preprocessing, HMM model, MFCC feature parameter extraction and other technologies, a speech recognition algorithm based on HMM is derived to achieve a more accurate result of speech words and phrases.
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