AssemblyAI has detailed two architectures for building speech-to-speech voice agents, which allow users to interact naturally through spoken language rather than navigating rigid phone menus. The first, a cascaded approach, uses separate speech-to-text, large language model (LLM), and text-to-speech models in sequence. This method is currently dominant in production due to its observability and flexibility, allowing for easier debugging and independent component upgrades. AI
IMPACT Provides insight into the technical underpinnings of conversational AI agents, impacting developers building voice interfaces.
RANK_REASON Blog post detailing technical architecture for a product.
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