Voice Analysis for Detecting Artificial Speech and Predicting Gender
Rakhi Bharadwaj, Raj Dugad, Akshata Gile, Gyaneshwari Patil, Shrinivas Hatyalikar · 2024
This research paper presents a comprehensive voice analysis system capable of detecting artificial speech and accurately predicting the gender and age of the speaker. Leveraging machine learning, acoustic features, and spectral analysis, the system distinguishes between natural human speech and artificial synthesis with high accuracy. It also excels in predicting the gender and age of the speaker, offering versatile applications in marketing, human-computer interaction, and demographic analysis. The study not only introduces an innovative solution to these challenges but also emphasizes its practical applicability across various domains, underscoring the relevance of voice analysis in today’s technology landscape.