Audio Spectrogram Factorization for Classification of Telephony Signals below the Auditory Threshold

Autor:	Orife, Iroro, Walker, Shane, Flaks, Jason
Rok vydání:	2018
Předmět:	Computer Science - Sound Electrical Engineering and Systems Science - Audio and Speech Processing
Druh dokumentu:	Working Paper
Popis:	Traffic Pumping attacks are a form of high-volume SPAM that target telephone networks, defraud customers and squander telephony resources. One type of call in these attacks is characterized by very low-amplitude signal levels, notably below the auditory threshold. We propose a technique to classify so-called "dead air" or "silent" SPAM calls based on features derived from factorizing the caller audio spectrogram. We describe the algorithms for feature extraction and classification as well as our data collection methods and production performance on millions of calls per week. Comment: 7 pages, 4 figures. Marchex Technical Report on VoIP SPAM classification
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1811.04139 Zobrazit plný text záznamu View this record from Arxiv