{"title":"A survey on Speech Emotion Recognition","authors":"C. Reshma, R. Rajasree","doi":"10.1109/ICCI46240.2019.9404432","DOIUrl":null,"url":null,"abstract":"People are exchange information and emotions through speech. Emotion recognition from speech is used in many applications such as education, customer service, speech synthesis, medical analysis and forensics etc. The main aim of speech emotion recognition system is to predict the emotions correctly. Many frameworks have been proposed to recognize the emotional content of a speech. The current available speech emotion recognition methods are analyzed in this survey. The evaluating parameters are feature extraction and classification methods. Also evaluates the limitations and accuracy of available methods in this survey.","PeriodicalId":178834,"journal":{"name":"2019 IEEE International Conference on Innovations in Communication, Computing and Instrumentation (ICCI)","volume":"112 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE International Conference on Innovations in Communication, Computing and Instrumentation (ICCI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCI46240.2019.9404432","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
People are exchange information and emotions through speech. Emotion recognition from speech is used in many applications such as education, customer service, speech synthesis, medical analysis and forensics etc. The main aim of speech emotion recognition system is to predict the emotions correctly. Many frameworks have been proposed to recognize the emotional content of a speech. The current available speech emotion recognition methods are analyzed in this survey. The evaluating parameters are feature extraction and classification methods. Also evaluates the limitations and accuracy of available methods in this survey.