Voice AI
A class of conversational AI systems that handle voice (audio) input and output in real time, unlike text-based chatbots.
A class of conversational AI systems that handle voice (audio) input and output in real time, unlike text-based chatbots.
Voice AI stacks combine three model classes: ASR (automatic speech recognition, e.g. Deepgram, Whisper), an LLM brain (GPT-4, Claude, Gemini), and TTS (e.g. ElevenLabs, OpenAI, Cartesia). The hardest engineering problem is endpointing — knowing when the human has finished speaking. Modern systems hit sub-200ms turn-taking latency, which is the threshold where conversation feels human.
Terms near this one.
Same cluster, often confused, or referenced together in customer conversations.
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