Voice AI systems are evolving from cascaded pipelines to native speech-to-speech models, but the optimal approach may involve combining both architectures. The traditional cascaded model, comprising Speech-to-Text (STT), a Large Language Model (LLM), and Text-to-Speech (TTS), offers flexibility, modularity, and enhanced security through a text-based checkpoint. This allows for easier integration of best-in-class components and robust guardrails for sensitive data. However, newer speech-to-speech models promise lower latency and a more natural conversational flow. AI
IMPACT Explains the trade-offs between cascaded and speech-to-speech architectures, impacting latency, cost, and user experience in voice AI products.
RANK_REASON Article discusses technical architectures for voice AI without announcing new products or research.
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