What is a voice proxy?
one AI Voice Agent It is a software system that can be accommodated Two-way real-time dialogue via phone or the Internet (VoIP). Unlike traditional interactive voice response (IVR) trees, voice proxy allows Free form speechdeal with Interrupt (“barge”)and can be connected to external Tools and APIs (e.g., CRM, scheduler, payment system) to complete tasks end-to-end.
Core pipeline
- Automatic speech recognition (ASR)
- Transcription of incoming audio into text in real time.
- need Stream asr There are some assumptions that the incubation period of natural turns within about 200–300 milliseconds.
- Language Understanding and Planning (usually LLMS+ Tools)
- Maintain dialog status and explain user intent.
- You can call an API, database, or retrieval system (RAG) to get answers or complete multi-step tasks.
- Text to Speech (TTS)
- Transform agent responses into natural speeches.
- Modern TTS systems provide the first audio token in about 250 milliseconds, support emotional tone and allow barge processing.
- Transportation and telephone integration
- Connect the agent to the Telephone Network (PSTN), VoIP (SIP/WEBRTC) and the Contact Center system.
- Usually includes a backup of DTMF (keyboard tone) for compliance-sensitive workflows.
Why are voice agents now?
Some trends explain their sudden survivability:
- High-quality ASR and TTS: Synthetic sounds that are nearly human transcriptional accuracy and naturally sounding.
- Real-time LLM: Models that can plan, infer and generate responses with sub-second delays.
- Improved endpoints: Better detect turns, interrupts and phrase boundaries.
These make conversations work together to make conversations smoother and more human-leading businesses to adopt voice agents Call deflection, after-hours coverage and automated workflow.
How voice agents differ from assistants
Many people are confused Voice Assistant (For example, smart speakers) Voice Agent. the difference:
- Assistant answers questions → Mainly information.
- Agents take action → Perform actual tasks through APIs and workflows (e.g., rescheduling appointments, updating CRM, processing payments).
The top 9 AI voice proxy platforms (capacity)
Here is a list of leading platforms that help developers and businesses build production-level voice agents:
- Openai Voice Agent
Low latency, multi-mode APIs are used to build real-time, context-aware AI voice proxy. - Google DialogFlow CX
A powerful conversation management platform with deep Google cloud integration and multi-channel telephone. - Microsoft Copilot Studio
Codeless/low code builder for dynamics, CRM and Microsoft 365 workflows. - Amazon LEX
AWS Local Conversation AI is used to build voice and chat interfaces and integrates through cloud contact centers. - Deepgram Voice AI Platform
A unified platform for streaming voice-to-text, TTS and proxy orchestration, designed for enterprise use. - Voice Streaming
A collaborative agent design and operation platform for voice, web and chat agents. - vapi
Developers first need to build, test and deploy high-profile voice AI agents. - Recap of AI
A comprehensive tool for designing, testing, and deploying production-level call center AI agents. - Voicespin
Contact center solution with inbound and outbound AI voice bots, CRM integration and omnichannel messaging.
in conclusion
Voice agents have gone beyond interactive voice response IVR. Today’s production system integration Streaming ASR, Usage Tool Planner (LLM) and Low Latency TTS Perform tasks, not just routing calls.
When choosing a platform, the organization should consider:
- Integrate surfaces (Tel, CRM, API)
- Delay Envelope (Minor turn and batch response)
- Operation required (Test, Analysis, Compliance)
Michal Sutter is a data science professional with a master’s degree in data science from the University of Padua. With a solid foundation in statistical analysis, machine learning, and data engineering, Michal excels in transforming complex data sets into actionable insights.
