AssemblyAI is detailing how to build real-time voice agents using a chained architecture that connects speech-to-text (STT), large language models (LLMs), and text-to-speech (TTS) components. The company emphasizes the importance of low-latency streaming pipelines, with specific guidance on integrating their Universal 3.5 Pro Realtime STT model. The articles also explore different orchestration platforms like Vapi, Pipecat, and LiveKit, and discuss lessons learned from companies like Retell and Super regarding production-level voice agent demands, including latency budgets and evaluation metrics beyond simple word error rates. AI
IMPACT Provides practical guidance and architectural insights for developers building real-time voice applications.
RANK_REASON The articles focus on practical implementation and comparison of tools for building voice agents, rather than a new model release or core research.
- AssemblyAI
- ElevenLabs
- GPT-4
- LiveKit
- OpenAI
- Pipecat
- Python
- speech recognition
- Text To Speech
- Universal-3.5 Pro Realtime
- WebSocket
- Adam Schuld
- BeginEvent
- RealTimeError
- RealTimeTranscriber
- Retell
- Ryan Seams
- San Francisco
- StreamingClient
- Super
- TerminationEvent
- TurnEvent
- Universal 3.5 Pro Realtime speech model
- Zhongren Shao
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