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ORIGINAL ARTICLE
Year : 2018  |  Volume : 4  |  Issue : 3  |  Page : 142-149

An empirical study of exploring nonphonetic forensic speaker recognition features


School of Foreign Languages, Zhaoqing University, Zhaoqing, 526061, China

Correspondence Address:
Dr. Xin Guan
School of Foreign Languages of Zhaoqing University, Zhaoqing, Guangdong 526061
China
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/jfsm.jfsm_20_18

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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 features that are supposed to be less affected by real-world conditions. The results of experiments show that first there exist nonphonetic features besides phonetic features, and what's more, the nonphonetic features are less affected by real-world conditions as expected.


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