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基于元音共振峰特征的法庭说话人识别 被引量:2

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摘要 在似然比证据评估体系下研究元音的共振峰特征在法庭语音证据强度评估中的应用,提供了似然比计算方法,并在包含42人语音的数据库中对法庭说话人识别系统的性能及可靠性进行了检验。结果表明:使用共振峰特征的法庭说话人识别系统,在只使用一个元音的情况下具有良好的识别率。该方法不仅能正确识别说话人,而且能根据当前语音证据的差异,量化该语音样本作为证据的力度,为法庭提供科学合理的证据评估结果。
出处 《中国刑警学院学报》 2014年第2期43-45,共3页 Journal of Criminal Investigation Police University of China
基金 辽宁省自然科学基金资助项目(编号:2013020008) 上海市物证鉴定中心重点实验室开放课题(编号:2013KF030110)
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  • 1Morris on G S, Zhang C, Rose P. An empirical estimate of the precision of likelihood ratios from a forensic-voice-comparison system [J]. Forensic science international, 2011, 208(1).
  • 2Saks M J, Koehler J J. The coming paradigm shift in forensic identification science [J]. Science, 2005, 309(5736).
  • 3Morrison G S. Forensic voice comparison and the paradigm shift[J]. Science &Justice, 2009, 49(4).
  • 4Rose P, Morrison G. A response to the UK position statement on forensic speaker comparison [J]. The international journal of speech, language and the law, 2009, 16(1).
  • 5Zhang C, Morrison G S, Rose P. Forensic speaker recognition in Chinese: a multivariate likelihood ratio discrimination on/i/and/y/[A]. INTERSPEECH [C]. Brisbane, Australia: The DBLP Computer Science Bibliography, 200.
  • 6Drygajlo A. Automatic Speaker Recognition for Forensic Case Assessment and Interpretation [M]. New York: Forensic Speaker Recognition. Springer, 2012.
  • 7Drygajlo A. Statistical evaluation of biometric evidence in forensic automatic speaker recognition [M]. Computational Forensics. Berlin Heidelberg: Springer, 2009.
  • 8Gonzalez-Rodriguez J, Ramos D. Forensic automatic speaker classification in the "Coming Paradigm Shift" [M]. Speaker Classification I. Berlin Heidelberg: Springer, 2007.
  • 9Campbell W M, Brady K J, CampbellJ P, et al. Understanding scores in forensic speaker recognition [A]. Speaker and Language Recognition Workshop [C], IEEE Odyssey2006, Puerto Rico: The. IEEE, 2006.
  • 10Drygajlo A, Meuwly D, Alexander A. Statistical Methods and Bayesian Interpretation of Evidence in Forensic Automatic Speaker Recognition [A], in Proc. Eurospeech 2003 [C], Geneva, Switzerland: Institute for Perceptual Artificial Intelligence, 2003.

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