The Voice
Intelligence
Blog
Everything Voice AI — from the physics of audio codecs to the architecture of real-time streaming pipelines. Written by builders, for builders.
Voice SynthesisText-to-Speech in 2026: The Race for Zero-Latency, Human-Quality Voices
Modern neural TTS can clone a voice from 10 seconds of audio and synthesize speech faster than real-time. Understanding how TTS systems work — and where they still fall short — is essential for anyone building Voice AI products.
AI and LLMsThe LLM Phone Call: How Language Models Are Rewriting Conversations
Putting an LLM on a phone call is harder than it looks. Context windows, conversation memory, function calling for real business actions, and tight latency constraints all collide. Here is how it is done right.
TechnicalCodecs Demystified: Why G.711 Still Rules the Phone World
Audio codecs are the hidden variable in every Voice AI deployment. They determine fidelity, bandwidth, latency, and ASR accuracy. Whether you are debugging a muffled AI call or optimizing for rural India's 3G networks, codec knowledge is non-negotiable.
ArchitectureReal-Time Streaming Audio: How AI Voice Agents Speak Without Lag
The magic of a natural AI voice conversation comes down to latency. Understanding how streaming audio pipelines work — from audio capture to TTS playback — reveals the engineering beneath what feels like a simple phone call.
TelephonySIP, PSTN and the Phone Stack: What AI Voice Agents Actually Dial Into
Before an AI agent says a single word, its audio has to travel through a web of protocols and switches that date back to the 1950s. Understanding the PSTN, SIP, and the full telephony stack is essential for anyone building reliable Voice AI at scale.
Deep DiveVoice Activity Detection: The Silent Engine Behind Every AI Call
Voice Activity Detection is the invisible gatekeeper of every AI voice conversation. Without it, AI agents would talk over you, process silence as speech, and rack up unnecessary compute costs. Here is how it actually works.
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