Smart Turn Detection
Fal Smart Turn
Cloud-hosted Smart Turn detection using Fal.ai
Overview
FalSmartTurnAnalyzer
provides an easy way to use Smart Turn detection via Fal.ai’s cloud infrastructure. This implementation requires minimal setup - just an API key - and offers scalable inference without having to manage your own servers.
Installation
Requirements
- A Fal.ai account and API key (get one at Fal.ai)
- Internet connectivity for making API calls
Configuration
Constructor Parameters
Your Fal.ai API key for authentication (required unless using a custom deployment)
URL endpoint for the Smart Turn API (defaults to the official Fal deployment)
An aiohttp client session for making HTTP requests
Audio sample rate (will be set by the transport if not provided)
Configuration parameters for turn detection. See SmartTurnParams for details.
Example
Custom Deployment
You can also deploy the Smart Turn model yourself on Fal.ai and point to your custom deployment:
Performance Considerations
- Latency: While Fal provides global infrastructure, there will be network latency compared to local inference
- Reliability: Depends on network connectivity and Fal.ai service availability
- Scalability: Handles scaling automatically based on your usage
Notes
- Fal handles the model hosting, scaling, and infrastructure management
- The session timeout is controlled by the
stop_secs
parameter - For high-throughput applications, consider deploying your own inference service