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Technology and Application | Publishing Language: Chinese | Open Access

Surveillance Audio Recordings Analysis into Scene Reconstructing in a Shooting Case

Criminal Investigation School, Southwest University of Political Science & Law, Chongqing 401120, China
Identifi cation Center of Evidential Materials, Chongqing Public Security Bureau, Chongqing 400707, China
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Abstract

In the monitoring of the crime scene, recording can comprehensively record all kinds of sounds at the scene, including verbal conversations, abnormal sounds and other sounds that may be related to the case. The recording evidence can play a role in restoring the incident and revealing the facts of the crime. This article takes the audio recordings from the central scene of a shooting incident as the main analysis object. It introduces the method of forensic speaker recognition into the analysis of abnormal verbal cries and air gunshots related to the case. The audio-acoustic-phonetics analysis method is used to examine the cries and gunshots. A total of 142 shouts and 2-suspected shooting sounds appeared in the on-site recording of the case. Through inspection, analysis and confirmation, the shouts were all from the victim, and the two-suspected shooting sounds were air gun shots. Afterwards, combined with the on-site investigation and post-mortem examination results, the incident process was reconstructed and the sequence of events was reproduced, and the time of the incident and the license plate of the suspect's vehicle were accurately inferred, which provided scientific basis and important clues for finding out the nature of the case, determining the direction of investigation and locking the suspect.

CLC number: DF793.2 Document code: A Article ID: 1008-3650(2025)03-0323-08

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Forensic Science and Technology
Pages 323-330

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Cite this article:
ZHANG Y. Surveillance Audio Recordings Analysis into Scene Reconstructing in a Shooting Case. Forensic Science and Technology, 2025, 50(3): 323-330. https://doi.org/10.16467/j.1008-3650.2024.0038

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Received: 16 November 2023
Revised: 18 May 2024
Published: 11 June 2024
© 2025 The Editorial Office of Forensic Science and Technology

This is an open access article under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0, http://creativecommons.org/licenses/by/4.0/).