Call Filtering System Using Dual Lists and Voice Analysis
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Solution Overview
Problem
Existing methods are inadequate in effectively preventing undesired telephone advertising, as they either rely on voluntary lists that are not comprehensive or resource-intensive automatic answering machines, and do not address international spam calls.
Innovation Solution
A method utilizing two lists to identify and filter out unwanted calls by comparing caller identifications, with calls from unknown or unlisted numbers being directed to a call handler for examination, and subsequently either accepted or rejected based on determination of automated advertising, and updating the lists accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a Robinson list is used to prevent telephone advertising, then domestic advertising from members is blocked, but international spam calls cannot be prevented and coverage is limited to voluntary members only
Solution Approach 1:
The patent divides the protection system into multiple functional components: a first list for storing identifiers of automatic callers known to send advertising, a second list for identifiers of automatic callers not sending advertising, and a call handler for analyzing unknown callers. This segmentation allows the system to handle different types of calls differently, improving both reliability for known spammers and adaptability for unknown international callers.
Solution Approach 2:
The call handler acts as an intermediary between incoming calls and the final decision to accept or reject. It analyzes calls from numbers not in the lists by examining voice information characteristics, serving as a mediator that extends protection beyond the limited scope of the Robinson list to include international and unknown callers.
2Reliability
If an automatic answering machine is looped into each incoming call to detect advertising, then all calls can be examined, but resources (trunk lines, memory) are unnecessarily consumed
Solution Approach 1:
The system performs preliminary action by checking the caller's identification against the stored lists before the call reaches the answering machine. If the identifier is found in the first list (known spammers), the call is rejected immediately. If found in the second list (authorized callers), the call is allowed through. This preliminary filtering action consumes minimal resources compared to looping the answering machine for every incoming call while maintaining effective detection capability.
Solution Approach 2:
The patent extracts the identification information from the call signaling data and uses it for filtering decisions before the call reaches full processing. By taking out and utilizing the caller identifier early in the call handling process, the system avoids the need to allocate full answering machine resources to every incoming call, reducing overall resource consumption while maintaining detection reliability.
3Ease of operation
If automatic callers are allowed to complete their calls, then legitimate business calls can be made, but time and personnel resources are wasted listening to advertising
Solution Approach 1:
The patent replaces the mechanical approach of having the answering machine play through every call with an automated identification and filtering system. The call handler uses voice information analysis and list comparison to automatically determine whether a call should be rejected, allowing the system to substitute manual listening and processing with automated mechanical filtering that occurs during call setup, thereby saving time while maintaining operational ease.
4Reliability
If calls from unknown numbers are directed to call handler for examination, then advertising can be detected, but processing time increases
Solution Approach 1:
The system applies partial action by only conducting full voice information analysis for calls from numbers not in the lists, rather than analyzing every incoming call. Calls from known spammers in the first list are immediately rejected without analysis. Calls from authorized numbers in the second list are allowed through without analysis. This partial examination approach reduces processing time while maintaining reliable advertising detection for unknown callers.
Data Source
AI summary
A first list and a second list of identifications are established, with which a telemarketing advertisement or no undesirable telemarketing advertisement is expected. The identification of the caller an incoming call is compared to the identifications in the list. If the identification of the call is not found in the lists, the call is routed to a call processing which enables the reception of a telemarketing advertisement to ascertained and, based on the result of that determination, the lists are correspondingly updated. The calls for which the identification of the caller is recorded in the second list are routed to the called party and the calls for which the identification of the caller is recorded in the first list are rejected. Such protection against telemarketing is particularly efficient in the context of an industrial operation with numerous human resources and for lines on which several calls can be simultaneously carried.