Personalized Voice Service Authentication and Delivery
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Solution Overview
Problem
Current automated voice service systems face challenges in delivering sensitive information securely, as they often fail to distinguish between the intended recipient and non-recipients, such as answering machines, leading to potential compromise of sensitive information.
Innovation Solution
A system and method for creating and deploying personalized, dynamic, and interactive voice services that use authentication techniques like PIN verification and spectral voice profiles to ensure that only the intended recipient receives sensitive information, with customizable messages based on the recipient type.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated voice service systems deliver information without authentication, then the delivery speed and efficiency are improved, but the security and reliability of sensitive information transmission deteriorates
Solution Approach 1:
The system performs authentication actions before delivering the main information content. The caller is prompted to provide authentication credentials (PIN, voice print, or password) at the beginning of the call, and the system verifies these credentials before proceeding to deliver sensitive information. This preliminary authentication step ensures security is established before any sensitive data transmission occurs.
Solution Approach 2:
The patent introduces an authentication intermediary layer between the information source and the recipient. This intermediary verifies the recipient's identity through multiple methods (PIN verification, spectral voice profile analysis, or password checking) before allowing access to the information. The intermediary acts as a gatekeeper that maintains both security and efficient information flow.
2Reliability
If the system uses multiple authentication methods to verify recipient identity, then the security and reliability are improved, but the device complexity and operation difficulty increase
Solution Approach 1:
The system implements different authentication methods tailored to specific scenarios and user preferences. Instead of requiring all authentication methods for every case, the system allows users to select appropriate authentication types (PIN for simplicity, voice print for security, password for flexibility) based on their needs. This localized approach to authentication reduces unnecessary complexity while maintaining reliability.
Solution Approach 2:
The system changes the authentication parameter (method type) based on user selection and system configuration. Users can specify their preferred authentication method during setup, and the system adapts its verification process accordingly. This parameter flexibility allows the system to maintain high reliability through multiple methods while reducing operational complexity by using only the selected method in practice.
3Measurement precision
If the system delivers customized messages based on recipient type, then the information precision and user satisfaction are improved, but the processing time and system complexity increase
Solution Approach 1:
The system performs recipient type detection and message customization preparation in advance during the call setup phase. Once the system identifies whether the recipient is a person or device and selects the appropriate message template, it prepares the customized content before the main information delivery begins. This preliminary customization reduces the time required during the actual information transmission.
Solution Approach 2:
The message delivery system dynamically adapts its content and structure based on the detected recipient type. The system uses conditional logic to select between different message templates (person-specific vs. device-specific messages) and dynamically inserts relevant information. This dynamic approach ensures high precision in message customization while maintaining efficient processing through automated template selection rather than manual composition.
Data Source
AI summary
A system and method for the creation and delivery of automated, personal information service gathers news, weather, financial and other data for transmission by telephone or other media. The recipient of a given voice broadcast may be detected and discriminated to adjust the content delivery. For instance, if a machine pick-up is detected, the call may be terminated or the message curtailed. Secondary recipients may be authorized in a subscriber's service profile, and other delivery preferences may be registered.