An empirical study of exploring nonphonetic forensic speaker recognition features

• Main Author: Xin Guan
• Format: Article
• Language: English
• Published: Wolters Kluwer Medknow Publications 2018-01-01
• Series: Journal of Forensic Science and Medicine
• Subjects: Forensic speaker recognition; natural conversations; nonphonetic; real-world conditions
• Online Access: http://www.jfsmonline.com/article.asp?issn=2349-5014;year=2018;volume=4;issue=3;spage=142;epage=149;aulast=Guan

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.