Audio tampering detection using multimodal features
The authenticity verification of a User Generated Audio-Video content relative to a real event can be a very critical task especially when the content is shared on the Internet. Audio-Video files need to be checked in order to verify the origin of the content and the absence of alterations that could have changed their semantic content. The paper presents a multimodal approach for audio tampering detection that analyzes both the audio component and the video component of a recorded video file. The proposed solution estimates the volumetric characteristics of the environment where the multimedia content has been captured both from the video and audio signals. Then, the approach checks the consistency of the environment characteristics estimated from the audio signal with respect to those estimated from video files. The proposed solution proves to be useful in identifying video fakes and bootlegs, although it proves to be useful for the localization of added audio effects in a movie or radio track.