Conversations that turn into action.
ECHO is a low-latency voice AI system engineered for natural spoken interactions over phone and web audio streams. It combines streaming speech-to-text, fast conversational reasoning, live calendar/service tool execution, and expressive text-to-speech — followed by structured call transcripts and action summaries.
A chartreuse-and-cobalt microphone robot with animated sound-wave elements.
WHY LEGACY WORKFLOWS BREAK DOWN.
Phone trees ('Press 1 for...') cause high caller drop-off, while naive voice wrappers around chat LLMs suffer from awkward multi-second silences and interruption collisions.
High round-trip latency breaks conversational cadence and makes callers talk over the assistant.
Spoken numbers, dates, names, and addresses require confirmation before booking or modifying appointments.
Service teams need structured post-call records and booked calendar entries, not raw audio recordings.
HOW ECHO SOLVES IT.
ECHO streams audio over bidirectional WebSockets with voice-activity detection (VAD), barge-in handling, incremental LLM-to-TTS streaming, and real-time scheduling tool calls.
Full-duplex WebSocket audio pipeline supporting natural caller interruptions (barge-in).
Sentence-chunked streaming from LLM tokens directly into low-latency TTS synthesis.
Automatic post-call transcript, extracted action items, and booked appointment confirmation.
BUILT FOR PRODUCTION REALITY.
6 CORE MODULES // ECHO
Speech-to-Text
Streams live caller audio through low-latency transcription with endpointing and voice-activity detection.
Natural Language Understanding
Extracts caller intent, preferred times, service types, and spoken entities across natural dialogue turns.
Real-Time Conversational Responses
Generates concise, speech-friendly responses tuned for natural pacing and immediate barge-in cancellation.
Tool-Based Task Execution
Checks calendar availability, books appointments, and updates service records mid-conversation.
Text-to-Speech
Synthesizes natural spoken audio chunks in streaming fashion as soon as the first phrase is ready.
Call Transcripts & Summaries
Produces clean speaker-diarized transcripts, structured booking receipts, and follow-up summaries.
FROM INPUT TRIGGER TO VERIFIED OUTPUT.
Capture Utterance
Streams live caller speech and detects natural turn boundaries.
Reason & Check Slots
Interprets the request, queries live calendar slots, and confirms options.
Stream Spoken Reply
Synthesizes low-latency voice audio with instant barge-in support.
Commit & Summarize
Finalizes the appointment and logs a structured call transcript and summary.
DETERMINISTIC GUARDRAILS + APPLIED INTELLIGENCE.
Voice interfaces live or die by latency, turn-taking, and explicit read-backs of critical details.
Streaming Phrase Pipeline
Instead of waiting for a full paragraph to finish generating, tokens are segmented at clause boundaries and piped immediately to TTS.
Interruptible Turn State
When VAD detects the caller speaking mid-response, outbound audio buffers flush immediately and the transcript state reconciles what was actually heard.
Spoken Read-Back Verification
Before committing a booking or schedule change, the agent explicitly reads back the date, time, and service for verbal confirmation.
SYSTEM ARCHITECTURE & DATA FLOW.
Full-duplex streaming voice pipeline over WebSockets coordinating VAD, streaming STT, tool-enabled LLM turns, and chunked TTS synthesis.
Manages full-duplex audio transport, voice-activity detection, and instant playback cancellation on caller barge-in.