《计算机应用》唯一官方网站 ›› 2022, Vol. 42 ›› Issue (12): 3906-3912.DOI: 10.11772/j.issn.1001-9081.2021101816

• 多媒体计算与计算机仿真 • 上一篇    

信道对汉语普通话元音共振峰的影响

刘贻杰1, 李江春2, 陈维娜1(), 黄颀涵1   

  1. 1.中国人民公安大学 侦查学院,北京 100038
    2.法庭科学湖北省重点实验室(湖北警官学院),武汉 430034
  • 收稿日期:2021-10-26 修回日期:2022-01-10 接受日期:2022-01-24 发布日期:2022-04-08 出版日期:2022-12-10
  • 通讯作者: 陈维娜
  • 作者简介:刘贻杰(1996—),男,广东茂名人,硕士研究生,主要研究方向:声纹检验
    李江春(1975—),男,江西信丰人,教授,硕士,主要研究方向:法庭文件检验
    黄颀涵(1996—),男,浙江舟山人,硕士研究生,主要研究方向:声纹检验。
  • 基金资助:
    国家重点研发计划项目(2017YFC0803506);法庭科学湖北省重点实验室(湖北警官学院)资助课题(KFKT2021003)

Influence of channel on formant of vowel in Chinese mandarin

Yijie LIU1, Jiangchun LI2, Weina CHEN1(), Qihan HUANG1   

  1. 1.School of Investigation,People's Public Security University of China,Beijing 100038,China
    2.Hubei Key Laboratory of Forensic Science (Hubei University of Police),Wuhan Hubei 430034,China
  • Received:2021-10-26 Revised:2022-01-10 Accepted:2022-01-24 Online:2022-04-08 Published:2022-12-10
  • Contact: Weina CHEN
  • About author:LIU Yijie, born in 1996, M. S. candidate. His research interests include forensic speaker comparison.
    LI Jiangchun,born in 1975, M. S., professor. His research interests include forensic document examination
    HUANG Qihan, born in 1996, M. S. candidate. His research interests include forensic speaker comparison.
  • Supported by:
    National Key Research and Development Program of China(2017YFC0803506);Project Funded by Hubei Key Laboratory of Forensic Science (Hubei University of Police)(KFKT2021003)

摘要:

针对信道对元音共振峰特征影响的问题,开展了系统实验。首先,采集了8位志愿者的标准录音;其次,用人工嘴播放标准录音,并采用13种不同信道录制了104段信道录音;最后,提取特征音段,在频谱特征定性分析中使用卡方检验来进行分析,并在声学参数量化分析中使用单样本t检验。统计结果表明,约69%的信道对高阶共振峰的总体形态影响显著,约85%的信道的共振峰相对强度存在显著差异;而单样本t检验结果表明,标准录音与信道录音在共振峰中心频率上不存在明显差异。实验结果表明,在对不同信道语音进行同一认定时,应重点关注共振峰的频率特征。

关键词: 语音同一认定, 信道, 元音共振峰, 频谱特征, 声学参数

Abstract:

Aiming at the problem of influence of the channel on the characteristics of the vowel formant, a systematic experiment was carried out. Firstly, the standard recordings of 8 volunteers were collected. Then, the standard recordings were played with the mouth simulator, and 104 channel recordings were recorded using 13 different channels. Finally, the characteristic voice segments were extracted, and chi-square test analysis was used in the qualitative analysis of the spectral characteristics, and one-sample t-test was used in the quantitative analysis of acoustic parameters. The statistical results show that about 69% of the channels have a significant influence on the overall form of the high-order formants, and about 85% of the channels have significant differences in the relative intensity of the formants. The one-sample t-test results show that there is no significant difference between the standard recordings and the channel recordings in center frequency of the formant. Experimental results show that the frequency characteristics of formants should be paid more attention to when processing the identification of voices in different channels.

Key words: voice identification, channel, vowel formant, spectral characteristic, acoustic parameter

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