主管:中华人民共和国司法部
主办:司法鉴定科学研究院
ISSN 1671-2072  CN 31-1863/N

中国司法鉴定 ›› 2011 ›› Issue (5): 19-22.

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声纹鉴定中的音强特征研究

王英利1,潘自勤2,蓝常山1   

  1. 1.广东省公安厅 刑事技术中心,广东 广州 510050;
    2.西南政法大学司法鉴定中心 重庆高校物证技术工程研究中心,重庆 401120
  • 收稿日期:2011-05-18 出版日期:2011-09-15 发布日期:2022-07-27
  • 通讯作者: 潘自勤(1965—),女,副教授,硕士研究生导师。
  • 作者简介:王英利(1957—),男,高级工程师(正高级),主要从事视听资料检验研究。

Study of Intensity Features in Voice Identification

WANG Ying-li1, PAN Zi-qin2, LAN Chang-shan1   

  1. 1. Forensic Science and Technology Center, Guangdong Provincial Public Security Bureau, Guangzhou 510050, China; 
    2. Southwest University of Political Science and Law, Chongqing Universities Forensic Science lenter, Chongqing 410120, China
  • Received:2011-05-18 Published:2011-09-15 Online:2022-07-27

摘要: 目的 确定声纹鉴定中的音强特征的应用价值。方法 将10名条件相近、普通话较标准的男性发音人的语音样本输入VS-99型语音工作站,分别对每个人所发的相同音节韵母的宽带声纹图谱进行分析比对。结果 不同人发出的相同音节,其音强分布一般不同,有时还会出现明显的差异,主要表现在韵母总体音强按频率分布状态、韵母总体音强按时间分布状态、过渡段音强按频率的分布状态、共振峰间的相对音强、个体共振峰的音强分布、共振峰峰间音强等几个方面;而同一人发出的相同音节,在上述几方面则表现一致。结论 音强可作为声纹鉴定中的一类特征。 

关键词: 声纹鉴定, 音强, 特征, 共振峰, 分布状态

Abstract: Objective To investigate the intensity features in voice identification. Methods Speech samples are collected from 10 male speakers who have similar physical conditions and relative standard voices and tones of Mandarin Chinese. All samples are input into VS-99 phonetics workstation, and the broadband spectrogram of the same syllable of every speaker are compared and analyzed. Results The intensities of the same syllable pronounced by different speakers are usually different and even quite distinct in some cases. Differences are mainly in the time and frequency distribution, the frequency distribution of the transition, the relative intensities among formants, the intensity distribution in a formant, and the formant-to-formant intensity. On the other hand, the same syllable pronounced by one speaker shows evident homogeneity in those aspects mentioned above. Conclusion Intensity can serve as a group of features in voice identification.

Key words: voice identification; intensity; feature; formant; distribution 

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