{"title":"一种新的说话人变化检测算法","authors":"Xiaoqing Yu, Haiying Tan, W. Wan","doi":"10.1109/ICCCAS.2007.4348127","DOIUrl":null,"url":null,"abstract":"To cope with the problem of speaker voice change detection, a novel speaker change detection algorithm is proposed in this paper. The new algorithm is developed based on traditional BIC algorithm in order to choose the voice segmentation point firstly, and then analyze the BIC change trend to decide which point is the real speaker voice change point. To compare with the normal BIC detection algorithm, the precision and recall rate of this new one is improved a lot. And also the new one has lower computational complexity compared with the traditional one.","PeriodicalId":218351,"journal":{"name":"2007 International Conference on Communications, Circuits and Systems","volume":"87 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Novel Speaker Change Detection Algorithm\",\"authors\":\"Xiaoqing Yu, Haiying Tan, W. Wan\",\"doi\":\"10.1109/ICCCAS.2007.4348127\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To cope with the problem of speaker voice change detection, a novel speaker change detection algorithm is proposed in this paper. The new algorithm is developed based on traditional BIC algorithm in order to choose the voice segmentation point firstly, and then analyze the BIC change trend to decide which point is the real speaker voice change point. To compare with the normal BIC detection algorithm, the precision and recall rate of this new one is improved a lot. And also the new one has lower computational complexity compared with the traditional one.\",\"PeriodicalId\":218351,\"journal\":{\"name\":\"2007 International Conference on Communications, Circuits and Systems\",\"volume\":\"87 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-07-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 International Conference on Communications, Circuits and Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCCAS.2007.4348127\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 International Conference on Communications, Circuits and Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCCAS.2007.4348127","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
To cope with the problem of speaker voice change detection, a novel speaker change detection algorithm is proposed in this paper. The new algorithm is developed based on traditional BIC algorithm in order to choose the voice segmentation point firstly, and then analyze the BIC change trend to decide which point is the real speaker voice change point. To compare with the normal BIC detection algorithm, the precision and recall rate of this new one is improved a lot. And also the new one has lower computational complexity compared with the traditional one.
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