Rubbish voice filtration method and system

Abstract

The invention discloses a filter method of rubbish voice, which comprises the following steps: audio data packet is acquired and the identification information of senders in the audio data packet is extracted; if no matching item for the identification information of the senders is found in a presetting black list data base or a white list data base, voiceprint feature of the audio data packet is acquired; if a matching item for the voiceprint feature is found in a presetting rubbish voiceprint data base, the identification information of the senders is added to the black list data base; otherwise, a gray list label is added to the identification information of the senders. The method of the invention can filter the rubbish voices in a simple, timely and accurate manner, effectively avoid attacks of the first call of the users not in the black or the white list and improve the security of applying the business of SIP protocol.

Description

technical field [0001] The invention relates to the field of network voice communication, in particular to a method for filtering garbage voice, a system for filtering garbage voice, a voice mail system and a garbage voice filtering device based on signaling interaction. Background technique [0002] In order to make full use of resources, reduce operating costs, and enrich business models so that users can enjoy the same services regardless of whether they are in a fixed or mobile environment, FMC (Fixed Mobile Convergence, fixed and mobile network integration) has become an inevitable trend of network development. FMC means that the service provision of the network is independent of the access technology and terminal equipment. From the perspective of users, the purpose of FMC is to enable users to enjoy the same service and obtain the same business through different access networks. Its main feature is that the service subscribed by the user has nothing to do with the ac...

AI Technical Summary

Problems solved by technology

But the shortcoming that this black / white list mechanism exists is: can not distinguish the calling user that appears for the first time correctly, promptly the adopting of " black list " mechanism can't filter the spam voice information of some initial calls; Calling voice over IP users will cause application difficulties; if voice spam attackers forge or tamper with the sender's URI to change the current URI and become the first calling user, it is easy to achieve the purpose of attacking.

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