Voice biometrics distinction between English and Arabic using Sound Cleaner Filtering and SpeechPro SIS II analysis

Voice biometrics is the technology of audio sample examination and extraction of voice patterns to verify the speaker’s identity. Audio forensic experts enhance the quality of a questioned audio recording to analyze its unique voiceprint and compare it to an exemplar. This research evaluates the difference in articulation of consonant and vowel sounds between English and Arabic using SpeechPro Software, which branches into Sound Cleaner and SIS II. Sound Cleaner II is used to edit and filter the audio samples, and SIS II graphically analyzes and compares the speech signals and formants patterns. Research results suggest formant overlap for vowels A, I, and U, whereas no intersection is evident for the E and O vowels. Also, the research assesses the software’s voice recognition ability when studying and comparing audio samples of different language. Results suggest that SIS II is successful at linking both the examined English and Arabic exemplars to a single likely speaker matc