{"title":"抑郁症与自杀高危说话者声音特征的比较分析","authors":"Thaweewong Akkaralaertsest, T. Yingthawornsuk","doi":"10.7763/IJCTE.2015.V7.1001","DOIUrl":null,"url":null,"abstract":"The procedure of this research was carried out in order to investigate the discriminative property of the focused vocal parameters mainly between depressed speakers and high-risk suicidal speaker groups. The result revealed that MFCC and GSS parameters are slightly high effective in term of vocal indicator corresponding to severe depression with fairly high performance in between-group separation.","PeriodicalId":306280,"journal":{"name":"International Journal of Computer Theory and Engineering","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Comparative Analysis of Vocal Characteristics in Speakers with Depression and High-Risk Suicide\",\"authors\":\"Thaweewong Akkaralaertsest, T. Yingthawornsuk\",\"doi\":\"10.7763/IJCTE.2015.V7.1001\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The procedure of this research was carried out in order to investigate the discriminative property of the focused vocal parameters mainly between depressed speakers and high-risk suicidal speaker groups. The result revealed that MFCC and GSS parameters are slightly high effective in term of vocal indicator corresponding to severe depression with fairly high performance in between-group separation.\",\"PeriodicalId\":306280,\"journal\":{\"name\":\"International Journal of Computer Theory and Engineering\",\"volume\":\"37 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Computer Theory and Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.7763/IJCTE.2015.V7.1001\",\"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 Computer Theory and Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.7763/IJCTE.2015.V7.1001","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Comparative Analysis of Vocal Characteristics in Speakers with Depression and High-Risk Suicide
The procedure of this research was carried out in order to investigate the discriminative property of the focused vocal parameters mainly between depressed speakers and high-risk suicidal speaker groups. The result revealed that MFCC and GSS parameters are slightly high effective in term of vocal indicator corresponding to severe depression with fairly high performance in between-group separation.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
