VoIP Speech Recognition User Profile Generation

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Solution Overview

Problem

VoIP service providers face challenges in reducing costs and delivering targeted advertisements to consumers, as existing methods often result in annoying, non-relevant messages that do not effectively utilize consumer interests, leading to potential loss of customers.

Innovation Solution

A system that uses speech recognition to analyze telephony data, generate user profiles, and retrieve targeted messages, including advertisements, based on keywords from conversations, allowing for real-time delivery of relevant information such as ads, weather, news, and schedules, thereby enhancing consumer engagement and revenue streams for service providers.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If VoIP service providers deliver targeted advertisements to consumers, then revenue streams are enhanced, but the complexity of analyzing telephony data and generating user profiles increases

Engineering Contradiction:

Improverevenue streamVSAvoidsystem complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The system automatically analyzes telephony data, extracts keywords, generates user profiles, and delivers targeted advertisements without manual intervention. The analyzer engine self-services the entire process from raw call data to personalized ad delivery, reducing the need for complex manual configuration while maintaining high revenue potential

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces manual advertising targeting methods with automated speech recognition and data analysis systems. Instead of manual profile creation and ad selection, the system uses computational algorithms to automatically process telephony data, extract meaningful keywords, and match consumers with relevant advertisements

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Ease of operation

If traditional non-targeted advertisements are delivered to consumers, then implementation is simple, but consumers find the messages annoying and irrelevant

Engineering Contradiction:

Improveimplementation simplicityVSAvoidconsumer annoyance

Core Design Contradiction:

Ease of operationVSObject-affected harmful factors

Solution Approach 1:

The system performs preliminary analysis of consumer telephony data before advertisement delivery. By analyzing calling patterns, speech content, and user behavior in advance, the system pre-generates personalized user profiles that enable relevant ad targeting, eliminating the need for complex real-time decision-making while ensuring ads are relevant to consumer interests

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system uses consumer telephony data as feedback to continuously refine user profiles and improve advertisement targeting accuracy. By analyzing ongoing call patterns and speech content, the system adapts to changing consumer interests and behaviors, ensuring advertisements remain relevant and reducing consumer annoyance

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS10607259B2System, method and computer program product for extracting user profiles and habits based on speech recognition and calling history for telephone system advertising

Publication Date: 2020.03.31 III HOLDINGS 1 LLC

AI summary

A system, method and computer program product for providing targeted messages to a person using telephony services by generating user profile information from telephony data and using the user profile information to retrieve targeted messages.