The rapid advancement of modern technology has facilitated the commission of various types of unlawful acts. The revolution in the field of artificial intelligence (AI) has made this technology widely accessible, significantly increasing the risk of its misuse. Voice cloning, as one of the capabilities of AI, poses a serious threat to both individuals and organisations. By imitating the biometric characteristics of another person?s voice, it becomes possible to disseminate false information, deceive security systems, and even commit criminal offences under someone else?s identity. The growing capabilities of artificial intelligence underscore the need to verify the authenticity of audio recordings before conducting forensic analysis. Therefore, this paper aims to highlight the possibilities of detecting fake audio recordings created using artificial intelligence through a review of the available literature. Existing research suggests that it is possible to reliably determine the authenticity of a speaker?s voice using the auditory-spectrographic method, which remains the predominant technique in voice and speech forensics. This approach enables the prevention or timely detection of voice and speech cloning attempts, thereby protecting potential victims from the potentially severe consequences of undetected falsification. It is essential that voice and speech experts are guided by these findings in their efforts to ensure the reliability of the evidence entrusted to them for expert analysis, and consequently, the outcome of the investigation.
Šešum et al. (Wed,) studied this question.