{"title":"基于子空间方法的实时说话人索引——在电视新闻文章和辩论中的应用","authors":"M. Nishida, Y. Ariki","doi":"10.21437/ICSLP.1998-243","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a method to extract and verify in-dividual speaker utterance using a subspace method. This method can extract speech section of the same speaker by repeating speaker verification between the present speech section and the immediately previous speech section. The speaker models are automatically trained in the verification process without constructing speaker templates in advance. As a result, this speaker verification method is applied to speaker indexing. In this study, announcer utterances are automatically extracted from news speech data which in-cludes reporter or interviewer utterances. Also extracted automatically are the utterances of each participator in debate program broadcasted on TV.","PeriodicalId":117113,"journal":{"name":"5th International Conference on Spoken Language Processing (ICSLP 1998)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1998-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":"{\"title\":\"Real time speaker indexing based on subspace method - application to TV news articles and debate\",\"authors\":\"M. Nishida, Y. Ariki\",\"doi\":\"10.21437/ICSLP.1998-243\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we propose a method to extract and verify in-dividual speaker utterance using a subspace method. This method can extract speech section of the same speaker by repeating speaker verification between the present speech section and the immediately previous speech section. The speaker models are automatically trained in the verification process without constructing speaker templates in advance. As a result, this speaker verification method is applied to speaker indexing. In this study, announcer utterances are automatically extracted from news speech data which in-cludes reporter or interviewer utterances. Also extracted automatically are the utterances of each participator in debate program broadcasted on TV.\",\"PeriodicalId\":117113,\"journal\":{\"name\":\"5th International Conference on Spoken Language Processing (ICSLP 1998)\",\"volume\":\"37 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1998-11-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"15\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"5th International Conference on Spoken Language Processing (ICSLP 1998)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.21437/ICSLP.1998-243\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"5th International Conference on Spoken Language Processing (ICSLP 1998)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21437/ICSLP.1998-243","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Real time speaker indexing based on subspace method - application to TV news articles and debate
In this paper, we propose a method to extract and verify in-dividual speaker utterance using a subspace method. This method can extract speech section of the same speaker by repeating speaker verification between the present speech section and the immediately previous speech section. The speaker models are automatically trained in the verification process without constructing speaker templates in advance. As a result, this speaker verification method is applied to speaker indexing. In this study, announcer utterances are automatically extracted from news speech data which in-cludes reporter or interviewer utterances. Also extracted automatically are the utterances of each participator in debate program broadcasted on TV.