Resources

Anam Solves Turn-Taking for Unscripted Avatar Conversation with Flux STT

Audio, Decision, Composition: Five Open-Source Jev Projects

Introducing Nova-3 Medical Multilingual: Medical Speech Recognition in 10 Languages

AI voice agent to human handoffs: How to warm transfer calls without losing context

Deepgram Ranks on RepVue's Top 20 Venture-Backed List

Three acknowledgements you cannot wait for

Introducing Nova-3 Pharma: The First STT Model Purpose-Built for the Pharmaceutical Industry

Deepgram's India Endpoint Is Now Generally Available

TTS with emotion: emphasis and control in live conversations

Voice AI telephony integration: carriers, SLAs and global rollout

Voice agent function calling: real-time data lookup during a call

What is Speaker Diarization?

The Rise of PER: A New Standard for Measuring TTS Accuracy

Voice agent testing: how to evaluate before you take real calls

Speech prosody across languages: what transfers and what breaks

Q&A with Deepgram’s New Chief Product Officer, Ed Anuff

Voice Agents Built for the Conversation: Building with Deepgram’s Flux TTS on Pipecat

Voice AI latency: why pauses read as hesitation

Paralanguage in voice AI: a complete guide to paralinguistic cues

Filler words in speech-to-text: retained vs clean output

Turn detection in voice agents: silence timeouts vs VAD vs semantic models

Emotional text-to-speech: how expressivity controls fix flat delivery

Backchannels vs interruptions: Handling listener signals in voice agents

Batch Text-to-Speech Deep Dive: From One Speech Call to a Produced Show

The real-time voice AI stack for agents: An architecture guide

AI Voice Agents vs. Human Agents: Metrics Compared

Conversation Context for Voice Agents: What It Is and Why It Matters for Accuracy

How to Evaluate Voice Quality Claims Across Text-to-Speech Providers

The Voice Agent Architecture Guide: STT, LLM, and TTS Pipeline Design in 2026

Automatic Speech Recognition vs Speech-to-Text: Key Differences and Use Cases