{"title":"Survey on Stress Emotion Recognition in Speech","authors":"L. Reddy, Swaarrnnaa K Kucuhcihbihbohtloat","doi":"10.1109/ICCCIS48478.2019.8974561","DOIUrl":null,"url":null,"abstract":"Stress emotion recognition from speech utterances seeks a humongous attention among the researchers. Stress is one of the serious problems in the current society. Due to this people in different sectors are suffering from many severe health issues which may lead to huge economic damage. In this paper a detailed survey has been made on the recognition of stress emotion of speech samples which addresses two important areas. The primary one deals with the suitable databases which are used for stress emotion recognition. The later one deals with the choice of best features and also the classifiers along with their performances used for stress emotion recognition. Conclusion deals with the performance evaluations and limitations of the stress emotion recognition system.","PeriodicalId":436154,"journal":{"name":"2019 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS)","volume":"1329 ","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCCIS48478.2019.8974561","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Stress emotion recognition from speech utterances seeks a humongous attention among the researchers. Stress is one of the serious problems in the current society. Due to this people in different sectors are suffering from many severe health issues which may lead to huge economic damage. In this paper a detailed survey has been made on the recognition of stress emotion of speech samples which addresses two important areas. The primary one deals with the suitable databases which are used for stress emotion recognition. The later one deals with the choice of best features and also the classifiers along with their performances used for stress emotion recognition. Conclusion deals with the performance evaluations and limitations of the stress emotion recognition system.