Omnichannel Voice Chatbots Services
Reviewed by Umar Abbas • CTO & Principal AI Architect
Omnichannel voice chatbots are real-time conversational AI systems that allow users to interact via natural voice across telephony (SIP/PSTN), mobile apps, and web interfaces with sub-300ms latency. We engineer streaming WebRTC pipelines, Deepgram speech-to-text (STT), OpenAI Realtime API integration, and ElevenLabs text-to-speech (TTS).
Streaming WebRTC Speech-to-Speech Pipeline
WebRTC Speech Streaming Flow
Interactive Flow Diagram
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| Step | Stage Name | Function & Detail | Metrics / SLA |
|---|---|---|---|
| 1 | N/A | ||
| 2 | N/A | ||
| 3 | N/A | ||
| 4 | N/A | ||
| 5 | N/A |
FastAPI WebSocket WebRTC Audio Bridge
from fastapi import FastAPI, WebSocket
import asyncio
app = FastAPI()
@app.websocket("/ws/voice/stream")
async def voice_websocket_endpoint(websocket: WebSocket):
await websocket.accept()
# Initialize Deepgram STT stream connection
# stt_stream = await deepgram.transcribe_websocket_stream()
try:
while True:
audio_chunk = await websocket.receive_bytes()
# Feed audio PCM chunk to STT stream
# stt_stream.send(audio_chunk)
# Send generated PCM audio back over WebSocket
# await websocket.send_bytes(generated_tts_chunk)
except Exception as e:
print(f"Voice session closed: {e}")Four-Layer Real-Time Voice Stack
Omnichannel Voice Infrastructure
Layered Stack ArchitectureTelephony & Web Gateways
(Core System Layer)Twilio SIP Trunking, WebRTC browser client, and iOS/Android audio SDKs
Speech Recognition (STT)
(Core System Layer)Deepgram Nova-2 streaming WebSocket transcription engine
Realtime Orchestration Engine
(Core System Layer)OpenAI Realtime API or custom vLLM audio model runner
Speech Synthesis (TTS)
(Core System Layer)ElevenLabs / Cartesia low-latency audio streaming engines
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- Layer 4: Telephony & Web Gateways (Core System Layer) — Twilio SIP Trunking, WebRTC browser client, and iOS/Android audio SDKs
- Layer 3: Speech Recognition (STT) (Core System Layer) — Deepgram Nova-2 streaming WebSocket transcription engine
- Layer 2: Realtime Orchestration Engine (Core System Layer) — OpenAI Realtime API or custom vLLM audio model runner
- Layer 1: Speech Synthesis (TTS) (Core System Layer) — ElevenLabs / Cartesia low-latency audio streaming engines
320,000 Voice Calls Benchmark
Frequently Asked Questions
How do you achieve sub-300ms voice latency in phone calls?↓
We deploy streaming WebRTC audio pipelines connected to Deepgram Nova-2 STT and OpenAI Realtime API over dedicated WebSocket servers.
Can voice chatbots integrate with enterprise PBX and Twilio SIP trunks?↓
Yes. We build SIP gateway microservices that bridge incoming PSTN phone calls directly into WebRTC audio streams.
How does the voice agent handle user interruptions (barge-in)?↓
We implement acoustic Voice Activity Detection (VAD). When the user speaks, the TTS audio buffer cancels instantly.
How long does a voice chatbot integration project take?↓
Development takes 8 to 12 weeks, including WebRTC server deployment, Twilio SIP setup, VAD tuning, and tool integration.
Who owns the voice gateway code and speech pipeline scripts?↓
Your organization holds 100% legal ownership of all WebRTC gateway code, audio microservices, and telephony deployment scripts.
Build Real-Time Sub-300ms Voice Chatbots
Consult with CTO Umar Abbas to deploy WebRTC and SIP voice AI.
Request Voice AI Discovery