Voice AI Sticks to ASR-LLM-TTS Pipeline as Enterprise Needs Stall S2S Adoption
prdeepakbabu · x · 2026-07-03
Frontline observations from the AI Engineer Conference reveal that almost all voice agent companies still use the traditional ASR→LLM→TTS pipeline rather than end-to-end Speech-to-Speech (S2S) models. Companies stated that the reluctance to adopt S2S isn't due to poor model quality, but rather stems from requirements for customizability, component replaceability, specialized inference backbones, observability, debugging capabilities, and enterprise governance.
This phenomenon highlights the gap between S2S technology and product architecture: while model latency and conversational experience are already excellent, the lagging factors are the inference stack, workflows, and enterprise control layers. This offers direct strategic value for voice AI startups.
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