Cognigy.AI Tutorial 2024 - Phone-based AI Agent

In this advanced tutorial, we take an AI Agent for chat and extend its capabilities by enabling voice interactions. This tutorial is designed for developers and technical professionals who want to bring voice functionality to their Cognigy.AI projects, creating a fully voice-enabled digital insurance agent.

What you'll learn:

• Introducing Voice Capabilities: Learn how to configure your Cognigy.AI session for voice-based interactions and the key considerations when implementing voice.
• Converting an Existing Project to Voice: We'll walk you through adding a speech provider in the settings, utilizing speech-to-text (STT) and text-to-speech (TTS) configurations, and choosing the right provider for your project.
• Managing Latency: Understand the challenges of voice processing, including latency management, and how to optimize performance.
• SSML and TTS Customization: Learn strategies for using SSML (Speech Synthesis Markup Language) to enhance TTS, and how to handle scenarios when SSML isn’t supported.
• Handling Ambiguous Pronunciations: Address challenges like dynamically handling ambiguous outputs, using preprocessing techniques to clean inputs.
• Multimodal Interaction: Use Cognigy's xApps to interact with users in a micro web application.
• Reprompt and Error Handling: Set up effective reprompt strategies and troubleshoot common issues in voice interactions.
• Contact Center Integration: We’ll explore how to integrate your voice agent into contact center environments, explaining SIP trunking and overall architecture with the help of diagrams.

By the end of this tutorial, you’ll have the skills and tools to transform your digital agent into a sophisticated, voice-enabled solution, ready for real-world deployment. Let’s bring your Cognigy.AI-powered Agents to life with voice capabilities!