Nowadays, audio editing tools can easily utilized to alter any digital audio signal. The original recorded conversation can be modified by inserting fake statement in order to twisted the context. Most of such tampering are difficult to identify by relying only on human hearing. Hence, a robust tool is required to help detecting tampered audio if present. In forensic community, it is known that digital traces exists on each audio signal due to characteristics of the acquisition device.
