What is speech-to-speech for voice agents?

Speech-to-speech voice agents revolutionize the traditional interactive voice response (IVR) systems by enabling natural conversations where users simply speak and the agent responds. This technology relies on two main architectures: the widely used cascaded model, which sequentially processes speech-to-text (STT), large language model (LLM), and text-to-speech (TTS), and the emerging end-to-end model that handles everything in one step. The cascaded approach is favored in production for its accuracy, flexibility, and observability, allowing each component to be optimized and swapped independently. However, it requires careful orchestration to manage latency, turn detection, and error handling, especially in complex interactions. End-to-end models, while simpler and potentially faster, struggle with accuracy and lack transparency, making them less suitable for industries with high precision requirements like healthcare and finance. AssemblyAI offers tools for both approaches, with its Voice Agent API providing a quick start for those seeking a managed solution, while Universal-3 Pro Streaming allows for custom pipeline development with full control over each component.

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