Integration with Elevenlabs

[saurabh-emvo]

Has anyone tried integrating the elevenlabs streaming TTS api to building a voice agent? Need to understand how was the buffer & latency managed?

[adk-bot]

Response from ADK Answering Agent (experimental, answer may be inaccurate)

TLDR: While there is no specific documentation for integrating Elevenlabs, the ADK's streaming capabilities and custom audio streaming examples provide a solid foundation for building such an integration. You can leverage the provided examples for managing buffer and latency.

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Hello! While we don't have specific examples for integrating with the ElevenLabs streaming TTS API, the Agent Development Kit (ADK) provides robust support for building real-time, bidirectional streaming applications, which should allow you to integrate with any streaming TTS provider.

Here are some resources that can help you understand how to manage streaming, including buffer and latency, within the ADK:

• Custom Audio Streaming Examples: The ADK documentation provides detailed examples of how to build custom audio streaming applications using both Server-Sent Events (SSE) and WebSockets. [1, 2] These examples demonstrate how to handle audio data in real-time, which is directly applicable to your use case. You can adapt these examples to send text to the ElevenLabs API and receive the audio stream back.

• Bidirectional Streaming: The ADK supports bidi-streaming, which allows for low-latency, natural-feeling voice conversations. [3] This is crucial for a voice agent, as it allows the user to interrupt the agent.

• Streaming Quickstart: If you are new to streaming in the ADK, the streaming quickstart guide is a great place to start. [4] It will walk you through setting up a basic streaming agent.

Managing Buffer and Latency:

In the context of the ADK, buffer and latency management are addressed by the underlying streaming technologies (SSE or WebSockets) and how you implement the client-side and server-side logic. The custom streaming examples [1, 2] show how to:

• Stream data from the agent to the client: The agent_to_client_sse() function in the SSE example demonstrates how to stream events (including audio data) from the agent to the client.
• Handle real-time audio: The client-side code in the examples uses the Web Audio API to process and play the incoming audio stream. This is where you would handle the audio buffer.

By following these examples, you can build a robust integration with the ElevenLabs streaming TTS API. The key will be to adapt the client-side code to handle the audio stream from ElevenLabs and the server-side code to send the text to be synthesized.

[1] https://google.github.io/adk-docs/streaming/custom-streaming/
[2] https://google.github.io/adk-docs/streaming/custom-streaming-ws/
[3] https://google.github.io/adk-docs/streaming/
[4] https://google.github.io/adk-docs/get-started/streaming/quickstart-streaming/