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An Empirical Study of Exploring Nonphonetic forensic speaker recognition Features

Journal of forensic Science and Medicine 2018年第3期4卷 142-149页

作者： Xin Guan School of Foreign Languages Zhaoqing UniversityZhaoqing526061China

So far, phonetic features have been the main type of forensic speaker recognition features studied and used in practice. One problem with phonetic forensic speaker recognition features is that they are affected dramatically by the real-world conditions, which results in within-speaker variations and consequently reduces the reliability of forensic speaker cognition results. In this context, supported by Sapir’s description of the structure of speech behavior and discourse information theory, natural conversations are adopted as experiment materials to explore nonphonetic featuresthat are supposed to be less affected by real‑world conditions. The results of experimentsshow that first there exist nonphonetic featuresbesides phonetic features, and what’s more, the nonphonetic features are less affected by real-world conditions as expected.

关键词： forensic speaker recognition natural conversations nonphonetic real-world conditions

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forensic Automatic speaker recognition Based on Likelihood Ratio Using Acoustic-phonetic Features Measured Automatically

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Journal of forensic Science and Medicine 2015年第2期1卷 119-123页

作者： Huapeng Wang Cuiling Zhang Department of forensic Science and Technology National Police University of ChinaShenyangLiaoning School of Criminal Investigation Southwest University of Political Science and LawNo.301Baoshe叩AveYubei DistrictChongqingChina

forensic speaker recognition is experiencing a remarkable paradigm shift in terms of the evaluation framework and presentation of voice *** paper proposes a new method of forensic automatic speaker recognition using the likelihood ratio framework to quantify the strength of voice *** proposed method uses a reference database to calculate the within-and between-speaker *** acoustic-phonetic features are extracted automatically using the software *** effectiveness of the approach was tested using two Mandarin databases:A mobile telephone database and a landline *** experimenfs results indicate that these acoustic-phonetic features do have some discriminating potential and are worth trying in *** automatic acoustic-phonetic features have acceptable discriminative performance and can provide more reliable results in evidence analysis when fused with other kind of voice features.

关键词： Acoustic-phonetic speaker recognition evidence evaluation forensic speaker recognition likelihood ratio

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