An Efficient Search Method for the Content-Based Identification of Telephone-SPAM
With the help of VoIP technology, large numbers of unsolicited calls can be conveniently placed and SPAM over Internet Telephony may become a major nuisance and threat. Various mitigation methods have been proposed which are mostly based on a pattern analysis of the signaling traffic. This contribution shows that an analysis of the audio content is also feasible and can provide protection against replayed calls. In order to identify similar or equal audio data, spectral features are extracted and a short and robust audio fingerprint is computed. The definition of the fingerprint is optimized for a fast index-based search.