Speech Forgeries Detection with Linear Prediction Model
Lin Xiao-da · Journal of Huaqiao University · 2015
Based on linear prediction model,ageneral forensic approach aiming to ensure the authenticity and integrity of speech is presented.To eliminate the influence of harmonic components existed in the LPC residual,a band-pass filter is introduced.The original speech residual follows a Gaussian distribution while its forgery counterpart shows a super Gaussian characteristic.Higher order statistics of the LPC residual is applied to forgery detection.Experimental results show the effectiveness of our method in detecting and locating forgery.Results also demonstrate the higher robustness of our detection method in noise environment compared to the state-of-the-art method.