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

    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.

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Zhong Wei,,You Xingang, Wang Bo. The Splicing Feature Extraction and Analysis based on Fractional Cepstrum Transform in Voice Forensics[J].,2014,29(2):254-258.

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  • Received:
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  • Online: May 08,2014
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