Voice-Text Modality Conversion for Customer Service Agents
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Solution Overview
Problem
Existing customer service systems lack seamless integration between voice and text communications, leading to inefficiencies when switching between modalities and raising concerns about data security when granting AI agents access to production databases.
Innovation Solution
The system combines Speech to Text, a language model, and Text to Speech service agents to enable voice calls to be responded to via text, allowing for seamless transitions between chat-based and voice-based services while maintaining a voice-based connection with users.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If AI agents are given access to production databases to respond to both voice and text communications, then the ability to address customer service needs is improved, but security risks increase
Solution Approach 1:
The patent creates a copy of the production database specifically for AI agent operations. This copy allows the AI to query and respond to customer service needs without direct access to the live production database, thereby maintaining security while enabling versatile responses to both voice and text communications.
Solution Approach 2:
The system introduces an intermediary layer between the AI agent and the production database. This intermediary manages data access and communication, allowing the AI to function with database access while maintaining security protocols. The intermediary translates AI requests into safe database operations.
2Adaptability or versatility
If human agents monitor both voice and text communications, then they can respond to both modalities, but efficiency decreases compared to taking voice calls directly
Solution Approach 1:
The system enables self-service by allowing the AI agent to autonomously handle both voice and text communications without requiring human agents to manually monitor both modalities. The AI independently processes incoming communications, converts between modalities as needed, and responds appropriately, freeing human agents from inefficient multitasking.
Solution Approach 2:
The patent replaces the mechanical process of human agents manually monitoring and switching between voice and text channels with an automated AI system. The AI uses speech-to-text conversion and text-to-speech synthesis to bridge modalities automatically, eliminating the inefficiency of human multitasking while maintaining adaptability to both communication types.
3Productivity
If chat-based services are used for customer support, then agents can multitask more effectively, but seamless switching between chat and voice services is not achieved
Solution Approach 1:
The system achieves universality by enabling a single AI agent to handle multiple communication modalities (voice and text) through a unified interface. The AI can receive voice calls, convert them to text for processing, generate text responses, and convert responses back to voice, allowing seamless switching without requiring separate systems for each modality.
Solution Approach 2:
The system dynamically changes the communication parameter (modality) based on user needs. Speech-to-text conversion allows voice input to be processed as text, while text-to-speech conversion allows text responses to be delivered as voice. This parameter transformation enables seamless switching between modalities while maintaining the efficiency of chat-based processing.
Data Source
AI summary
Systems and methods combining Speech to Text, a language model, and Text to Speech service agents to accept voice phone calls and respond to those voice phone calls via text, thereby enabling the multitasking benefits of chat-based while maintaining a voice-based connection with a user.