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Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody

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Acoustic environment identification by Kullback-Leibler divergence.

G Delgado-Gutiérrez¹, F Rodríguez-Santos¹, O Jiménez-Ramírez¹

¹ESIME Culhuacan, Instituto Politécnico Nacional, Santa Ana 1000, 04430 CDMX, Mexico.

Forensic Science International

|November 13, 2017

Summary

This summary is machine-generated.

This study introduces a forensic method to identify the origin of digital audio recordings by analyzing noise components. It estimates a likelihood rate based on additive noise patterns to pinpoint the most probable recording location.

Keywords:

Additive noise Audio forensic Digital audio recording Recording place identification Statistical comparison

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Area of Science:

Digital Forensics
Acoustic Analysis
Signal Processing

Background:

Digital audio recordings contain multiplicative (device-related) and additive (environment-related) noise.
Distinguishing the origin of audio recordings is crucial in forensic investigations.
Existing methods may not sufficiently differentiate between recording environments.

Purpose of the Study:

To develop a forensic methodology for determining the probable recording location of disputed digital audio.
To estimate a likelihood rate to assess the plausibility of different recording environments.

Main Methods:

Analyzing additive noise as an external feature indicative of the recording environment.
Estimating additive noise using the Geometric Approach to Spectral Subtraction (GA-SS) filter.
Calculating a likelihood rate via Kullback-Leibler divergence for statistical comparison of noise distributions.

Main Results:

The methodology provides a quantitative likelihood rate to support the determination of the recording place.
Statistical comparison of additive noise probability distribution functions aids in identifying the most plausible location.
Reference recordings from potential locations are used for comparative analysis.

Conclusions:

The proposed forensic methodology effectively utilizes additive noise analysis to determine the probable origin of digital audio recordings.
This approach offers a robust tool for forensic audio investigations by quantifying environmental acoustic signatures.