Journal Forum

Sound Board: High-Resolution Audio - October 2015

Synchronized Swept-Sine: Theory, Application, and Implementation - October 2015

Effect of Microphone Number and Positioning on the Average of Frequency Responses in Cinema Calibration - October 2015
1 comment

Access Journal Forum

AES E-Library

Blind Microphone Analysis and Stable Tone Phase Analysis for Audio Tampering Detection

Document Thumbnail

In this paper we present an audio tampering detection method based on the combination of blind microphone analysis and phase analysis of stable tones, e.g., the electrical network frequency (ENF). The proposed algorithm uses phase analysis to detect segments that might have been tampered. Afterwards, the segments are further analyzed using a feature vector able to discriminate among different microphone types. Using this combined approach, it is possible to achieve a significantly lower false-positive rate and higher reliability as compared to standalone phase analysis.

AES Convention: Paper Number:
Publication Date:

Click to purchase paper or login as an AES member. If your company or school subscribes to the E-Library then switch to the institutional version. If you are not an AES member and would like to subscribe to the E-Library then Join the AES!

This paper costs $20 for non-members, $5 for AES members and is free for E-Library subscribers.

Learn more about the AES E-Library

E-Library Location:

Start a discussion about this paper!

Facebook   Twitter   LinkedIn   Google+   YouTube   RSS News Feeds  
AES - Audio Engineering Society