长期的声学语音特征和 mel 频率 cepstral 系数是否为法医语音比较提供了补充的扬声器特定信息?
Ricky K W Chan1, Bruce X Wang2
1Speech, Language and Cognition Laboratory, School of English, University of Hong Kong, Hong Kong.
Forensic science international
|August 25, 2024
概括
在法医语音比较中,Mel-frequency cepstral coefficients (MFCCs) 最好区分说话者与长期语音特征相比. 将MFCC与语音数据结合起来没有显著的性能改善.
科学领域:
- 法医语言学 法医语言学
- 语音科学 语言科学
- 生物识别信息 生物识别信息
背景情况:
- 法医语音比较集成了语音分析和自动扬声器识别.
- 在法医背景下,关于长期语音特征的证据价值的研究有限.
研究的目的:
- 实证地验证长期语音特征的证据强度,以进行语音歧视.
- 为了评估基本频率 (F0),形式分布,喉语音质量和 mel-frequency cepstral 系数 (MFCC) 的表现.
主要方法:
- 分析了75名澳大利亚男性英语发言人的非当代录音.
- 评估单个长期特征 (F0,格式,语音质量,MFCC) 和它们的组合.
- 在演讲者区分任务中特征性能的比较.
主要成果:
- 与长期的声学声学特征相比,MFCC显示了优越的扬声器歧视.
- 源和过器功能提供了有限的补充扬声器特定信息.
- 将长期的语音特征与MFCC集成并没有显著提高系统性能.
结论:
- 在法医语音分析中,MFCC对于语音歧视非常有效.
- 语音特征在与MFCC相结合时提供最小的附加值.
- 这些发现有助于优化语音和自动扬声器识别系统的整合.
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