AI is changing the world. Don't stay behind. Clear summaries, community insight, delivered without the noise. Subscribe to never miss a beat.

Privacy

Contact

Back to all news

voice-ai ai-agents developer-tools speech-to-text

Voice-AI-for-Beginners – A curated learning path for developers

GitHub - mahimairaja/voiceai: Set of 📝 with 🔗 to help those building Voice AI agents 🎙️🤖

github.com

May 2, 2026

19 min read

🔥🔥🔥🔥🔥

46/100

Summary

GitHub repository mahimairaja/voiceai provides a curated learning path for developers to build real-time voice AI agents, covering the process from speech-to-text (STT) to production telephony. The modern voice AI stack includes a real-time transport layer, a streaming pipeline of speech-to-text, large language models (LLM), and text-to-speech technologies, along with a turn-taking model for managing agent interactions.

Key Takeaways

Voice AI has transitioned from research demos to commercial products within three years, utilizing a real-time transport layer, a streaming pipeline of STT, LLM, and TTS, and a turn-taking model.
The learning path for building voice AI agents is structured to start with foundational concepts, followed by framework selection, component exploration, and production concerns.
Recommended frameworks for open-source voice AI development include LiveKit Agents and Pipecat, both of which facilitate integration of STT, LLM, and TTS.
Resources are categorized by skill level (beginner, intermediate, advanced) and emphasize free official documentation and vendor-neutral guides.

Read original article