Enhancing Forensic Voice Analysis with the Aid of Noise Cancellation: A Forensic Approach

Forensic voice analysis is a subdiscipline in forensic criminal investigations as it provides useful information for finding and analyzing vocal recordings for speaker identification, speech recognition, emotion, and utterance detection. The accuracy and credibility of speech analysis are perhaps compromised by the undesired background noises. The noise cancellation method aims to alleviate the inimical effects of coherence background noise on voice samples, amplifying the quality and coherence of the fundamental speech signal. Forensic voice analysts can analyze and compare the various acoustic, phonetic, and supra-segmental features such as vowel duration, fundamental frequency(f0), dialect, voice quality, stress pattern, articulation, spectral characteristics, speech disease/disorders, prosody, formants, etc. for voice identification and speaker profiling with accuracy by utilizing voice recognition software, noise cancelation techniques along with other analysis methods like PRAAT. The outcomes of this study shed light on the effectiveness and potential of noise cancellation methods in forensic voice analysis, emphasizing their capacity to raise the overall quality and reliability of voice-related evidence. These improvements in noise cancellation open up the possibility of more precise voice identification, speaker verification, and analysis in the field of forensic science by successfully reducing the effects of background noise.