ModelRefs / Voice Stack
Voice Stack
Sub-second STT → LLM → TTS pipelines for calls, agents and live assistance.
Overview
The voice stack budgets every hop (ASR, LLM, TTS, network) for sub-second response so conversations feel natural over the phone or in real-time apps. Workflows here include voice agents, call summarization and live agent assist.
Workflows in this stack
- Voice AI — Voice AI combines speech-to-text, an LLM and text-to-speech behind a low-latency turn-taking pipeline.
- Call Summarization — Transcribe, summarise and extract action items from sales and support calls with speaker attribution.
- Agent Assist — Agent assist surfaces real-time support to human agents during live customer conversations.
- Invoice Extraction — Extract candidate fields from authorized PDF and email invoices with source traceability, validation rules, and human review before AP use.
- Brand Voice Tuning — Brand voice tuning enforces a versioned brand voice specification across all generated content.
- Podcast Content Pipeline — Transcribe, chapter, summarise and repurpose podcast episodes into blog posts, social cards and newsletter drops.
- Voice Support Agent — A voice support agent handles inbound tier-1 calls with speech-to-text transcription, real-time intent detection, and a RAG layer that retrieves policy and product information to ground responses.
Continue your research
Use these connected ModelRefs sections to compare alternatives, inspect implementation paths, and review the evidence and governance boundaries relevant to Voice Stack.