期刊文献+

声纹鉴定中自动声纹比对阈值设定技术研究与实践

Research and Practice of Automatic Voiceprint Comparison Threshold Setting Technology in Voiceprint Identification
下载PDF
导出
摘要 声纹鉴定系统在实际使用过程中依赖鉴定人员个人经验设置比对阈值进行认定,此种静态阈值设定方法不仅带有主观因素而适应性不佳,且无法适应不同音频质量和信道条件造成的影响,降低了声纹鉴定系统的准确性和可靠性。本文针对自动声纹比对阈值设定技术进行了深入研究与实践,通过使用准确率、召回率和错误拒绝率等不同的评估指标来评估不同阈值设定策略的性能,本研究的结果对于声纹鉴定系统的改进和优化具有重要的意义。 In the actual use of the voiceprint identification system,the affirmation is concluded with a comparison threshold set based on on the personal experience of the identification personnel.This static threshold setting method not only has subjective factors and poor adaptability,but also cannot adapt to the influence of different audio quality and channel conditions,which reduces the accuracy and reliability of the voiceprint identification system.In this paper,the automatic voiceprint comparison threshold setting technology is studied and practiced,and the performance of different threshold-setting strategies is evaluated by using different evaluation indicators such as accuracy,recall rate and false rejection rate.The results of this study are of great significance for the improvement and optimization of the voiceprint identification system.
作者 胡成宇 李柏汕 顾明波 Hu Cheng-yu;Li Bai-shan;Gu Ming-bo(Heilongjiang Province Public Security Department Criminal Technology Brigage,Harbin 150008,Heilongjiang Province,China)
出处 《科学与信息化》 2024年第6期22-25,共4页 Technology and Information
关键词 声纹鉴定 声纹比对 阈值设定 似然比 voiceprint identification voiceprint comparison threshold setting likelihood ratio
  • 相关文献

参考文献2

二级参考文献25

  • 1崔景旭.证据真实性及其强度的科学性评估[J].中国刑警学院学报,2015(1):29-34. 被引量:8
  • 2DENG Jiu-qing,HU Qi-xiu.Open Set Text-Independent Speaker Recognition Based on Set-Score Pattern Classification [ C ]//IEEE International Conference on Acoustics,Speech,and Signal Processing.Hong Kong:IEEE Press,2003,2:73-76.
  • 3REYNOLDS D A.An Overview of Automatic Speaker Recognition Technology [ C ] // IEEE International Conference on Acoustics,Speech,and Signal Processing.Orlando,Florida:IEEE Press,2002:4072-4075.
  • 4PRZYBOCKI MARK,ALVIN MARTIN.The NIST Speaker Recognition Evaluation-Overview,Methodology,Systems,Results,Perspective [J].Speech Communications,2000,31:225-254.
  • 5REAL E C,BAUMANN A H.Open Set Classification Using Tolerance Intervals [ C ] // Signals,Systems and Computers,Conference Record of the Thirty-Fourth Asilomar Conference.Pacific Grove,USA:IEEE Press,2000,(2):1217-1221.
  • 6SOVKA P,POLLAK P,KIBIC J.Extended Spectral Subtraction [ C ] // Signal Processing Ⅷ:Theories and Applications (Proceedings of EUSIPCO-96).Trieste,Italy:European Association for Signal Processing (EURASIP),1996:963-966.
  • 7FURUI SADAOKI.Recent Advances in Speaker Recognition [J].Pattern Recognition Letters,1997 (18):859-872.
  • 8CHEN Kc.Towards Better Making a Decision in Speaker Verification [ J].Pattern Recognition,2003,36 (2):329-346.
  • 9FREDOUILLE C,MARIETHOZ J,BONASTRE.Behavior of a Bayesian Adaptation Method for Incremental Enrollment in Speaker Verification [ C ] //IEEE International Conference on Acoustic,Speech,and Signal Processing.Istunbul,Turkey:IEEE Press,2000:1197-1200.
  • 10AUCHENTHALER R,CAREY M.Score Normalization for Text-independent Speaker Verification Systems [ J ].Digital Signal Process,2000 (10):42-54.

共引文献34

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部