Master the Art of
Voice AI Systems
Deep-dive into ASR, NLU, Dialog Management, Memory, NLG, and TTS. Then learn how to build production-ready Voice AI Agents.
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All Architecture Diagrams
Every component broken down with detailed architectures.
Audio preprocessing → Feature extraction (Mel spectrograms) → Encoder-Decoder Transformers → Decoding
Intent Classification → Entity Extraction (NER) → Slot Filling → Confidence Scoring
State Tracker → Dialog Policy → Action Selection → Multi-turn Management
Short-term (session) → Long-term (user) → RAG Integration → Context Window Strategies
Content Planning → Sentence Planning → Surface Realization → Templates vs LLMs
Text Analysis → Prosody → Acoustic Model (Tacotron/VITS) → Vocoder (HiFi-GAN)
Real-Time Voice
Conversations
Speech-to-speech in under 200ms. Natural conversations powered by the complete Voice AI pipeline.
Voice AI → Voice AI Agents
The architecture is the foundation. Agents are what you build with it.
Voice AI
The Pipeline
Voice AI Agent
Autonomous System
Voice AI Agents - Coming Soon
Building production-ready Voice AI Agents using the architecture above. Multi-agent systems with LangGraph, real-time ASR, and natural TTS.
Voice AI Articles
Deep dives on voice AI architecture, models, and engineering — published on my blog.
Voxtral TTS: Is Open-Source Voice AI About to Disrupt ElevenLabs?
Mistral's 4B open-weights TTS model with ~70 ms latency and 3-second voice cloning — how it works, and the license catch.
I built a phone number you can call and argue with an AI
Building a real-time voice agent over the phone — turn detection, echo, noisy transcription, and watching the latency budget.
Ready to Build Voice AI?
Get in touch for collaborations, consulting, or to discuss voice technology.