A Phonetic Forensic Analysis of Imran Khan's Speeches

The objective of this research was to analyze the speeches made by Al Tools and Imran Khan. Praat played a crucial 
role in conducting this analysis. Nowadays, there are numerous fake videos and audios associated with specific 
individuals. For instance, speeches made by Al Tools, such as Imran Khan's speech after being imprisoned, were 
released. The researcher obtained these videos from online sources and compared them. The first video focused 
on Israel's attack on Gaza, which was a speech generated by artificial intelligence (AIGS), while the second speech 
addressed the Kashmir issues at the United Nations (UNS). Certain words, namely "people," "world," "devised," 
and "when," were selected for study. The first two words were present in both videos, the third word was only in 
the AIGS video, and the fourth word was from the UNS video. These words were analyzed based on intensity, 
pitch, pulse, spectrogram, and formants. The analysis involved comparing the graphs and values of these 
parameters. The study yielded significant results in analyzing both speeches. The sound features of AIGS 
consistently exhibited low values, whereas the UNS features displayed high values. In terms of intensity, the pattern 
was reversed, with AIGS exhibiting higher values compared to UNS for all the aforementioned words. Therefore, 
it can be concluded that all praat features consistently have higher values, except for intensity, when comparing 
AIGS and UNS. Consequently, praat can effectively distinguish between human-based and Al-based speeches. This 
study holds important implications for future researchers. The findings can be applied to various fields related to 
forensic linguistics, such as analyzing threatening calls, voice detection, judicial procedures, and law enforcement 
agencies like police departments in apprehending criminals.