Innovative Approach in Digital Forensics: ShortcutBased Speech Recognition, Sentiment Analysis and Body Language Evaluation

In the field of digital forensics, the analysis of audio and video recordings plays a critical role. Traditional methods require manual examination of these recordings, which is time-consuming and prone to errors. In this paper, we introduce an innovative method that performs multi-faceted analyses such as speech-to-text conversion, sentiment analysis, and body language evaluation using user-defined shortcut keys. This method, termed "Shortcut-Based Speech Recognition, Sentiment Analysis, and Body Language Evaluation," significantly enhances forensic analysis processes by speeding up and increasing the accuracy of evidence analysis. This new method leverages speech recognition technology to convert audio recordings into text, conducts sentiment analysis on the text, and performs body language evaluation from video recordings. Users can execute these analyses using their chosen shortcut keys and save the results to a log file. This enables forensic experts to examine digital evidence more efficiently and effectively. Our innovative approach contributes to digital forensic investigations by providing accuracy and speed in identifying critical information. The user-defined shortcut keys simplify and accelerate the analysis process, aiding researchers and forensic experts in achieving faster and more accurate results. Furthermore, the method's multi-analysis capabilities offer a comprehensive approach to evidence evaluation, facilitating stronger evidence presentations in court.