verifier-tuple for audio-forensic to determine speaker environment
In this paper a new concept for audio classification and analysis is presented to determine the authenticity of the speaker's environment. The overall concept's characteristic is determined through an introduced Verifier-Tuple, which enables a detailed analysis of every kind of media. The purpose, the practise as well as the need of this Verifier-Tuple is anchored in forensics. As we are clarifying in this paper, the Verifier-Tuple can have an essential impact on investigations in accumulating evidence to proof a crime. Within the Verifier-Tuple four different stages are classified, which include distinct syntax and semantic features of information. We demonstrate its application to the medium audio and list concrete features for each stage. Our background is the determination of a speaker's certain equipped, overall environment. This can be for example a train station or an airport with low quality audio devices, or a class room or laboratory with high quality equipment. The Verifier-Tuple provides an indirect channel for a speaker verification. The proposed concept is scalable for other media such as text, image, video or 3d-complexes. As a result we will show the Verifier-Tuple's impact on a new classification of information, especially audio feature extraction and in particular, the verification of the authenticity of information.
concept of content analysis forensic analysis of digital multimedia