What are voice agents?
Voice agents are AI systems that hold real-time spoken conversations with people. They consists of a core stack of ASR, an LLM, and TTS to listen, reason, and respond by voice and often additional calling tools or back-end APIs in between. They power use cases like AI receptionists, contact center agents, outbound scheduling bots, and in-app voice assistants.
What is an example of voice agent?
A typical voice agent chains telephony or WebRTC transport, speech enhancement, VAD, ASR, a language model with tool calling, and TTS, usually orchestrated by a framework.
How do voice agents work?
Voice assistants chain wake-word detection, VAD, ASR, intent understanding (often via an LLM), action execution, and TTS. Cloud-based assistants send audio to remote servers; on-device assistants handle as much as possible locally for privacy and latency.
How does ai-coustics help voice agents?
Voice agents are ai-coustics' core customer. Our Quail family plugs into voice agent pipelines as the real-time reliability layer, cleaning callers' audio before it reaches ASR, lowering WER, and preventing over-transcription from background voices with Quail Voice Focus. Quail VAD adds accurate turn-taking, and AirTen lets all of this run on CPU at scale without GPUs.
