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基于修改的CZT的低SNR条件的音频改检测框架

Bing Li¹, Wei Qiu¹, Xiao Huang¹

¹College of Electrical and Information Engineering, Hunan University, Yuelu District, Changsha, Hunan 410082, China.

Forensic science international

|August 28, 2025

概括

这项研究引入了从噪音数字音频中提取电网频率 (ENF) 信号的新框架. 该方法提高了改检测,即使在信号噪声比 (SNR) 较低的环境中.

科学领域:

数字信号处理
法医科学
电气工程

背景情况:

从数字音频中提取电网频率对于法医证据至关重要.
噪声和低信号噪声比 (SNR) 条件使可靠的ENF信号提取和音频改检测变得复杂.

研究的目的:

提出专门为低SNR条件设计的ENF提取和改检测框架 (ENF-ETD).
在具有挑战性的声环境中提高ENF提取和音频改识别的准确性和可靠性.

主要方法:

修改的Chirp Z转换 (MCZT) 方法用于从数字音频中提取ENF信号.
使用皮尔森相关系数 (PCC) 和欧几里德距离 (ED) 来评估ENF估计的准确性.
与实际电网频率进行比较以检测改.

主要成果:

拟议的ENF-ETD框架表明在低SNR条件下有效提取ENF信号.
该框架通过比较估计和实际的电网频率成功识别了音频改.
模拟和硬件实验验证了框架的抗噪强度.

结论:

在杂的数字音频中,ENF-ETD框架为ENF提取和改检测提供了可靠的解决方案.
该方法提高了ENF提取的准确性,提高了法医分析能力.
这项研究证实了该框架在噪声免疫和数字音频改检测方面的有效性.

关键词:

数据库匹配电网的频率频率估计修改的Chirp Z转换改检测

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The innovation of touch-tone telephony revolutionized the telecommunications industry by replacing the traditional rotary dial with a dual-tone multi-frequency (DTMF) signaling system. This system uses a matrix-style keypad with buttons arranged in four rows and three columns, creating 12 distinct signals each assigned to a pair of frequencies. Each button press results in a simultaneous generation of two sinusoidal tones – one from a low-frequency group (697 to 941 Hz) and one from a...