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CEAS
2008
Springer

Analysis of Spectral Parameters of Audio Signals for the Identification of Spam Over IP Telephony

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Analysis of Spectral Parameters of Audio Signals for the Identification of Spam Over IP Telephony
A method is presented which analyses the audio speech data of voice calls and calculates an "acoustic fingerprint". The audio data of the voice calls are compared with each other based on spectral parameters and voice calls are identified which have a high degree of similarity. The method which is resistant to various modifications of the audio signal can be used to detect SPIT which is typically characterized by similar or identical voice calls being distributed to a large number of receivers. Privacy protection is assured since only a fingerprint but not the complete audio data of a call is stored, which does not allow a reconstruction of the content or identification of the speaker.
Christoph Pörschmann, Heiko Knospe
Added 12 Oct 2010
Updated 12 Oct 2010
Type Conference
Year 2008
Where CEAS
Authors Christoph Pörschmann, Heiko Knospe
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