Metadata and Container Structure Analysis for Audio Authentication

Abstract

Audio recordings of crime scenes are frequently utilized as digital evidence due to the universal usage of mobile phones, but they must first be authenticated before being used as evidence in court. The technique of identifying whether an audio recording is real or has been altered or manipulated is known as audio authenticity. In order to investigate and validate audio, this study provides a cutting-edge authentication technique that can distinguish the difference between real and fraudulent audio. Herein, we analyzed audio recording samples from different mobile handsets like iPhone, Samsung, One Plus etc. It is important to note that the proposed method authenticates audio files without regard to the audio content, i.e., without concern to the speaker or the speech. The audio recordings were subjected to manipulation that a human cannot recognize them auditory. The present results show that it is possible to verify the authentication of audio recordings generated through mobile phones or any recorder using metadata and the container structure of the recorded and edited audio file