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KMID : 1022420150070040035
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Phonetics and Speech Sciences
2015 Volume.7 No. 4 p.35 ~ p.40
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A Speech Waveform Forgery Detection Algorithm Based on Frequency Distribution Analysis
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Heo Hee-Soo
So Byung-Min
Yang Il-Ho
Yu Ha-Jin
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Abstract
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We propose a speech waveform forgery detection algorithm based on the flatness of frequency distribution. We devise a new measure of flatness which emphasizes the local change of the frequency distribution. Our measure calculates the sum of the differences between the energies of neighboring frequency bands. We compare the proposed measure with conventional flatness measures using a set of a large amount of test sounds. We also compare- the proposed method with conventional detection algorithms based on spectral distances. The results show that the proposed method gives lower equal error rate for the test set compared to the conventional methods.
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KEYWORD
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forgery detection, frequency distribution, spectral distance
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