Community

This guide will deliver apples-to-apples cost models for three concrete workloads, Total-cost-of-ownership calculus, a decision matrix, and more! By the end, you’ll know exactly which vendor—and which plan—keeps speech-to-text costs predictable as your minutes climb from thousands to millions.

ASR handles transcription well, but it wasn't designed for conversation. Real-time voice agents need turn-aware recognition, contextual detection, and sub-second responsiveness. This post introduces Conversational Speech Recognition (CSR) and why it's essential for the next generation of voice AI.

Lindy has launched Gaia, powered by Deepgram Flux, bringing smarter, faster, and more natural AI phone conversations to businesses everywhere. Flux delivers ultra-low latency and conversation awareness, enabling Gaia to answer and manage calls without awkward interruptions or dead air.

Flux is here: the first real-time Conversational Speech Recognition model built for voice agents. Solve interruptions, cut latency, and ship natural conversations faster than ever.

We're headed toward a world where shopping is conversational, frictionless, and personal at scale. And it’s being accelerated by a technology many of us are already using every day: voice AI.

Voice Activity Detection (VAD) determines whether audio frames contain speech or silence. This overview explains how VAD works, where different approaches succeed or fail, and what to consider when implementing speech detection in production systems.