Glossary
Voice AI
The broader category of AI systems that understand and produce human speech in real time — the underlying technology stack powering AI voice agents.
Voice AI combines three core technologies: automatic speech recognition (ASR/STT), large language models (LLMs) for intent understanding and response generation, and text-to-speech (TTS) for natural-sounding voice output. Modern Voice AI stacks (as of 2026) operate at sub-second turn latency, support 30+ languages with high fluency, handle interruptions and overlapping speech naturally, and can be conditioned with custom voices, brand personas, and domain-specific knowledge. Voice AI is distinct from chatbots (text-only), IVR (touch-tone menus), and conversational IVR (rigid utterance matching) — it handles open-ended human conversation natively.
Why it matters
- The technology stack that makes "phone calls answered by software" actually pleasant.
- Sub-second latency means natural conversational pacing — no "robot pauses".
- Supports 30+ languages, opening multi-language customer bases without bilingual hiring.
- Custom voice cloning enables consistent brand persona across all customer touchpoints.
- Improves measurably every model generation — quality gap to humans narrows quarterly.