AES E-Library

← Back to search

Copy-Move Forgery Detection and Localization via Partial Audio Matching

In this paper, we present a new approach for detecting and localizing copy-move forgeries within digital audio recordings. The approach is based on an audio ?ngerprinting and matching algorithm that was originally designed for partial audio matching without a query for large datasets, which was now successfully adapted to the speci?c requirements of copy-move forgery detection, i.e. short segment duration and high reliability. Thanks to the characteristics of the original algorithm, our proposed approach does not require pre-segmentation, and shows high accuracy for detection and localization of copy move forgery, including mismatching background noise, thereby signi?cantly extending the state-of-the art.


Author (s):
Affiliation: (See document for exact affiliation information.)
Publication Date:


Click to purchase paper as a non-member 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 Join the AES. If you need to check your member status, login to the Member Portal.

E-Libary location:
Choose your country of residence from this list:

Skip to content