AI

This course picks up where speech recognition and text-based agent design leave off, at the moment you try to wire ASR, an LLM, and TTS together into something a person can actually talk to in real time. Stitching those three pieces together turns out to be a genuinely different systems problem than any one of them alone: latency budgets get brutal, silence becomes ambiguous, and users interrupt. You'll go deep on the pipeline architecture, why every millisecond stacks, how systems decide when a speaker has actually finished talking, how streaming is used at every stage to claw back latency, and how cascaded multi-model pipelines compare to newer unified speech-to-speech models.