Introducing AI Voice Agent
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Overview
Tencent Cloud Contact Center's AI Agent enables businesses to use AI for handling calls on telephone lines. It quickly converts text-based models into speech, allowing the AI to speak directly with customer, making it easier for businesses to manage incoming and outgoing calls efficiently.
Core Features
Architecture
Automatic Speech Recognition (ASR): Incorporates advanced speech recognition capabilities to accurately convert user voice input into text.
Large Language Model (LLM): Integration with large models like Deepseek V3 helps process inputs and generate accurate responses.
Text To Speech (TTS)TTS: Converts text responses into natural, human-like speech, delivering a smooth and pleasant interaction experience for customers. It also supports integration with mainstream TTS service providers.
Advanced Feature
Self-developed background noise reduction engine: Reduces background noise to improve ASR accuracy.
Semantic intelligent sentence segmentation algorithm: Detects when a user has finished speaking, minimizing interruptions during conversations.
Phone-related features:
Transfer to Agent: The AI can proactively transfer calls to human agents during conversations based on preset conditions.
Post-call analysis: The large model extracts structured content from calls and can transmit it to enterprise business systems.
Use Cases
Telephone survey: Automatically collects questionnaire data, extracts and aggregates results into business systems, improving response rates and data quality while reducing labor costs.
Sales lead follow-up: Engages customers with human-like responses, integrates high-quality voice output with latency as low as 1500ms, and improves lead conversion rates.
Highlights
Advanced technology: Leverages Tencent Cloud’s expertise in communications, ensuring stable systems and high performance.
Easy integration: Provides flexible APIs for seamless integration with existing systems, lowering the technical barrier to entry.
Cost-effective: Reduce labor cost and improve service efficiency and quality through automated service.
Next
Select the corresponding path based on your deployment method.
First time user? Deploy a functional AI Agent in just five minutes create a conversation flow or integrate an external model.
Want to learn about our conversation flow nodes? Go to Conversation Nodes.
Build a knowledge base for your conversation flow? Go to Build Your Knowledge Base.
How to test your model? Refer to Test Conversation Workflow.
Configure a voice AI Agent with your own model? Go to Integrate External Model, Edit Conversation Content, Configure Voice Interaction, and Add Call Control.
Want to view application scenarios? Try Voice Notification, Lead Mining, Feedback Collection, or Customer Support.
How to make outbound and inbound calls with an AI Agent? Refer to AI Agent Outbound Calls or AI Agent Inbound Calls.
View data logs? Refer to Call Records, Call Recordings, Latency.
How to create and view post-call tags? Refer to Post-call Tags (Created via Conversation Flow) or Post-call Tags (Created via External LLM).
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