Voice AI
Voice AI is conversational AI that communicates through voice instead of text. It combines speech-to-text (STT), a large language model for understanding, and text-to-speech (TTS) to reply in a human-like voice.
In depth
Voice AI powers applications like AI phone receptionists, in-car assistants, and voice-controlled smart speakers. The modern stack is: (1) STT model converts the caller's audio to text; (2) an LLM interprets the text and generates a response; (3) TTS converts the response back to audio. Newer models like Google Gemini Live skip the STT and TTS steps by processing audio directly — this reduces latency from ~3 seconds to under 1 second. For Indian languages, good voice AI must handle regional accents (south Indian vs north Indian English), code-mixed speech, and noisy mobile-network audio. Voice AI for business typically costs ₹1-5 per minute of conversation in India (2026).
Real example
A customer calls a clinic's Dvaarik phone number. The AI picks up, greets in Hindi, asks 'aap kis doctor se appointment chahte hain?', understands 'Dr. Neha ke saath', books the appointment, and reads back the confirmation in voice.
Related terms
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More terms in this category
AI Receptionist
An AI receptionist is a software system that answers inbound customer messages and phone calls using a large language model (LLM), books appointments, collects payments, and sends notifications — without human staff.
Conversational AI
Conversational AI is technology that lets computers hold natural back-and-forth conversations with humans in text or voice. It uses large language models to understand intent, remember context across turns, and generate human-like replies.
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