一种与文本无关的实时说话人识别系统

12th International Conference on Image Analysis and Processing, 2003.Proceedings. Pub Date : 2003-09-17 DOI:10.1109/ICIAP.2003.1234121

L. Cordella, P. Foggia, Carlo Sansone, M. Vento

{"title":"一种与文本无关的实时说话人识别系统","authors":"L. Cordella, P. Foggia, Carlo Sansone, M. Vento","doi":"10.1109/ICIAP.2003.1234121","DOIUrl":null,"url":null,"abstract":"The paper presents a real-time speaker identification system based on the analysis of the audio track of a video stream. The system has been employed in the context of automatic video segmentation. It uses features evaluated in both the time and frequency domains. Their combined use significantly improve the performance of the system. Experiments have been carried on a database extracted from over one hour of television news, including 10 speakers. The obtained results confirm the effectiveness of the approach, showing an error rate less then 1% when the time interval used for identifying a speaker is about 1.5 seconds.","PeriodicalId":218076,"journal":{"name":"12th International Conference on Image Analysis and Processing, 2003.Proceedings.","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"30","resultStr":"{\"title\":\"A real-time text-independent speaker identification system\",\"authors\":\"L. Cordella, P. Foggia, Carlo Sansone, M. Vento\",\"doi\":\"10.1109/ICIAP.2003.1234121\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper presents a real-time speaker identification system based on the analysis of the audio track of a video stream. The system has been employed in the context of automatic video segmentation. It uses features evaluated in both the time and frequency domains. Their combined use significantly improve the performance of the system. Experiments have been carried on a database extracted from over one hour of television news, including 10 speakers. The obtained results confirm the effectiveness of the approach, showing an error rate less then 1% when the time interval used for identifying a speaker is about 1.5 seconds.\",\"PeriodicalId\":218076,\"journal\":{\"name\":\"12th International Conference on Image Analysis and Processing, 2003.Proceedings.\",\"volume\":\"12 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-09-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"30\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"12th International Conference on Image Analysis and Processing, 2003.Proceedings.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIAP.2003.1234121\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"12th International Conference on Image Analysis and Processing, 2003.Proceedings.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIAP.2003.1234121","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 30

摘要

提出了一种基于视频流音轨分析的实时说话人识别系统。该系统已应用于视频自动分割中。它使用在时域和频域评估的特征。它们的组合使用显著提高了系统的性能。实验是在一个从一个多小时的电视新闻中提取的数据库中进行的，其中包括10位发言者。实验结果证实了该方法的有效性，当识别说话人的时间间隔约为1.5秒时，错误率小于1%。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

A real-time text-independent speaker identification system

The paper presents a real-time speaker identification system based on the analysis of the audio track of a video stream. The system has been employed in the context of automatic video segmentation. It uses features evaluated in both the time and frequency domains. Their combined use significantly improve the performance of the system. Experiments have been carried on a database extracted from over one hour of television news, including 10 speakers. The obtained results confirm the effectiveness of the approach, showing an error rate less then 1% when the time interval used for identifying a speaker is about 1.5 seconds.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

12th International Conference on Image Analysis and Processing, 2003.Proceedings.

自引率

0.00%

发文量