#When using web sockets to connect to the conversational AI how can I combat network challenges to a
1 messages · Page 1 of 1 (latest)
To ensure audio chunks are processed in the correct order and avoid jumbled output when using WebSockets to connect to the conversational AI, you can follow these practices:
-
Send Audio Continuously: The conversational AI is designed to facilitate live conversations, and sending audio chunks continuously is recommended. This approach ensures the AI processes the audio in real-time and maintains the correct sequence.
-
Avoid Delays Between Chunks: Sending audio chunks with delays (e.g., after recording 2 seconds of audio) may cause issues. Continuous transmission helps the AI handle the audio stream more effectively.
-
Monitor Ping Messages: Ensure your WebSocket connection remains active by responding to ping messages promptly. A dropped connection can lead to incomplete or overlapping audio processing.
-
Base64 Encoding: Verify that your audio chunks are correctly encoded in Base64 and meet the required specifications (16,000 Hz PCM, 16-bit mono LE samples). Incorrect encoding or formatting can disrupt processing.
-
Check Conversation Logs: Use the ElevenLabs dashboard to review conversation logs and confirm the audio chunks are being received correctly. This can help identify any issues with the transmission.
-
Test with Examples: Refer to the examples provided on the ElevenLabs GitHub page, such as the "Talk to Santa Agent," to ensure your implementation aligns with recommended practices.
If these steps do not resolve the issue, you may need to provide additional details about your setup or reach out to support for further troubleshooting.
no I'm referring to the received audio response