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How to Build a Browser-Based Voice Assistant With the AssemblyAI Voice Agent API
This story was originally published on HackerNoon at: https://hackernoon.com/how-to-build-a-browser-based-voice-assistant-with-the-assemblyai-voice-agent-api.
Build a real-time voice assistant in ~120 lines using a single WebSocket API. No separate STT, LLM, or TTS services needed.
Check more stories related to tech-stories at: https://hackernoon.com/c/tech-stories.
You can also check exclusive content about #ai-voice-agent, #real-time-voice-ai, #websocket-voice-ai, #browser-voice-assistant, #assemblyai-voice-agent, #javascript-voice-app, #ai-audio-streaming, #good-company, and more.
This story was written by: @assemblyai. Learn more about this writer by checking @assemblyai's about page,
and for more stories, please visit hackernoon.com.
This tutorial walks through building a real-time voice assistant using a unified API that handles speech recognition, language processing, and speech synthesis over a single WebSocket connection. The key takeaway is that modern voice AI development can be significantly simplified by replacing multi-service pipelines with integrated architectures.
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By HackerNoonThis story was originally published on HackerNoon at: https://hackernoon.com/how-to-build-a-browser-based-voice-assistant-with-the-assemblyai-voice-agent-api.
Build a real-time voice assistant in ~120 lines using a single WebSocket API. No separate STT, LLM, or TTS services needed.
Check more stories related to tech-stories at: https://hackernoon.com/c/tech-stories.
You can also check exclusive content about #ai-voice-agent, #real-time-voice-ai, #websocket-voice-ai, #browser-voice-assistant, #assemblyai-voice-agent, #javascript-voice-app, #ai-audio-streaming, #good-company, and more.
This story was written by: @assemblyai. Learn more about this writer by checking @assemblyai's about page,
and for more stories, please visit hackernoon.com.
This tutorial walks through building a real-time voice assistant using a unified API that handles speech recognition, language processing, and speech synthesis over a single WebSocket connection. The key takeaway is that modern voice AI development can be significantly simplified by replacing multi-service pipelines with integrated architectures.