What is a Voice Agent in AI? Top 9 Voice Agent Platforms to Know (2025)

What is the sound agent?

and AI sound agent It is a software system that can carry In two directions, actual time conversations Via phone or internet (VOIP). Unlike the old interactive audio response trees (IVR), sound agents allow Free letterHandle Ansactions (“Barge-in”)And you can contact abroad Tools and APIS (For example, CRMS, Magdel, Payment Systems) to complete the tasks to the end.

The basic pipeline

1. Learn about automatic speech (ASR)
   • Real -time copies of the sound contained in the text.
   • It requires ASR flow With partial hypotheses within about 200-300 milliliters, a transition time for natural operation.
2. Understanding language and planning (often llms + tools)
   • Maintains the state of dialogue and explains the user’s intention.
   • Applications, databases, or retrieval systems (RAG) may require answers to bring answers or complete multiple -step tasks.
3. Text to the words (TTS)
   • The agent’s response again turns into normal speech.
   • Modern TTS systems provide the first vocal codes in about 250 milliliters, support emotional tone, allow the battery to be treated.
4. The integration of transportation and telephone communication
   • The agent connects to the phone networks (PSTN), Voip (SIP/Webrtc), and communication center systems.
   • DTMF (the keyboard tone) often includes working factors for the functioning of compliance.

Why audio agents now?

Some trends explain their ability to danger:

• High quality ASR and TTS: The accuracy of semi -human copies and natural synthetic sounds.
• LLMS real time: Models that can be planned, the reason, and generate responses with sub -cumin.
• Improved the lining: Better discovery of rotation, interruptions, and phrases.

Together, these conversations make smooth and more human-like-like-like companies to adopt sound agents Calling a deviation and coverage after working hours and automated workflow.

How the audio agents differ from the assistants

A lot of confusion Voice Assistant (For example, smart speakers) with Voice Agents. the difference:

• Help answers questions → In the first place information.
• Agents take measures → Make real tasks through applications and workflows (for example, reschedule an appointment, update CRM, and pay payment).

The best 9 Voice Agent Plastic Organization (ADI)

Below is a list of leading platforms that help developers and institutions to build sound agents from the production category:

1. Openai sound factors
   Facades of low, multimedia, multimedia programming interface facades to build artificial intelligence sound factors in actual time.
2. Google Dialogflow CX
   Strong dialogue management platform with the integration of the deep cloud of Google and the multi -channel phone.
3. Microsoft Copilot Studio
   The agent created without a symbol/low code for dynamics, CRM, and Microsoft 365 workflow.
4. Amazon Lexus
   Aws-native AI to build audio and chat facades, with the integration of the cloud communication center.
5. Deepgram Voice Ai platform
   A unified platform for the flow of speech to the text, TTS, and the coordination of the agent-designed to use the institution.
6. Voice flow
   Cooperative agent design and design platform for audio, web and chat agents.
7. Vapi
   The first developer application programming interface to create, test and publish AI agents for advanced sound with high configuration.
8. Reconsure artificial intelligence
   Comprehensive tools for the design, test and publishing of Call Call Cant.
9. Voiceespin
   Contact-CORTER SOLUTION with received and exterior AI’s sound robots, CRM integration, and multi-channel correspondence.

conclusion

Sound agents move beyond IVRS interactive audio responses. Production systems are merged today ASR flow, a plan to use tools (LLMS), and low total TTS To carry out tasks instead of just making calls.

When choosing a platform, institutions must be taken into account:

• Integration surface (Telephony, CRM, APIS)
• Cumin (Subtractive responses against payments)
• Operations needs (Test, analyzes, compliance)