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A Speech Waveform Forgery Detection Algorithm Based on Frequency Distribution Analysis
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  • Journal title : Phonetics and Speech Sciences
  • Volume 7, Issue 4,  2015, pp.35-40
  • Publisher : The Korean Society of Speech Sciences
  • DOI : 10.13064/KSSS.2015.7.4.035
 Title & Authors
A Speech Waveform Forgery Detection Algorithm Based on Frequency Distribution Analysis
Heo, Hee-Soo; So, Byung-Min; Yang, IL-Ho; Yu, Ha-Jin;
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 Abstract
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.
 Keywords
forgery detection;frequency distribution;spectral distance;
 Language
Korean
 Cited by
 References
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