基于分数倒谱变换的取证语音拼接特征提取与分析

本文针对语音取证中相同采样率的语音拼接识别进行了初步研究，着重分析了拼接对噪声特征的影响，提出了基于分数倒谱变换的拼接帧检测算法，并提出了语音拼接联合识别模型。实验结果表明，在分数阶因子 为0.2时，分数倒谱变换的拼接帧过零率检测算法优于普通倒谱域方差法，在分数阶因子 为1.2时，分数倒谱变换的拼接帧高频方差检测算法优于普通倒谱域方差法。该方案在语音取证领域具有较高的应用价值和广阔的应用前景。

The Splicing Feature Extraction and Analysis based on Fractional Cepstrum Transform in Voice Forensics

On the research of voice forensics, this article conducts primary study on voice splicing recognition of the same sampling rate ,focusing on analyzing the influence of stitching on the noise characteristics. In addition, this paper also presents algorithm for mosaic frame detection based on fractional cepstrum transform(FRCT), proposing a model of voice stitching and joint identification . Experimental results show that the cross-zero ratio performance of the FRCT method is much better than the MFCC in noise moment when fractional factor a is about 0.2.Furthermore, when fractional factor a is about 1.2 , the high frequency variance performance of the FRCT method is also better than the MFCC. The program has higher value and broad application prospects in the field of voice forensics.