telnyx-voice-streaming-go

To stream call audio to a WebSocket in Go, use the Telnyx API for call control and media forking. This Skill provides Go SDK examples to redirect real-time call media directly to external WebSocket endpoints for live processing.

Yes, you can get real-time speech-to-text transcription for Telnyx calls in Go. This Skill facilitates live transcription by managing call media streams through the Telnyx API, enabling immediate speech-to-text insights during active calls.

Media forking redirects call media to external destinations for processing or recording. You need it for voice calls when performing live analysis, such as sending real-time audio to Dialogflow or an AI service for sentiment analysis.

Yes, this Go SDK supports streaming audio to Dialogflow. It provides examples for managing Telnyx voice call media streams, allowing you to redirect real-time call audio to Dialogflow for conversational AI analysis.

To integrate live call sentiment analysis using Go, use the Telnyx API to fork call media streams to an external AI service. This Skill provides the Go SDK examples needed to stream real-time audio for immediate sentiment evaluation.

Yes, you need the Telnyx API to use these Go voice streaming examples. The Skill requires integration with the Telnyx API to handle underlying call control and media management for real-time audio streaming and transcription.