Deepgram 在 2026年7月 发布的内容

Conformer Models: ASR Accuracy Benchmarks and Trade-offs

Deepgram’s product marketing team published a technical deep dive on Conformer models, highlighting their hybrid convolution-self-attention architecture, benchmark performance (e.g., 2.1% WER on Libri…

Connecting TTS to Twilio: The Complete Guide to Audio Encoding, Streaming, and Production Gotchas

Deepgram published a technical guide explaining how to configure their TTS API for compatibility with Twilio Media Streams, including required audio encoding (8kHz mu-law), WebSocket framing, and barg…

Is ElevenLabs Real-Time? What Developers Need to Know

Deepgram's analysis argues ElevenLabs' 75ms model inference latency excludes network and application overhead, with production deployments facing 180ms gaps in measured TTFB. Concurrency limits (max 3…

Deepgram Voice Agent API vs OpenAI Realtime API: Building Voice Agents in 2026

A detailed comparison of Deepgram’s Voice Agent API and OpenAI’s Realtime API highlights critical differences in pricing models, architecture, latency, concurrency limits, and deployment control. Deep…

Deepgram Vs. Rev AI Vs. Whisper: Latency, Accuracy, and Scalability Tested

Deepgram adds interrupt mode to InjectAgentMessage and full LatencyReport support

Deepgram expanded its voice agent API with two key updates: a new `interrupt` behavior for `InjectAgentMessage` that allows agents to immediately speak or interrupt ongoing speech, and full support fo…

When the docs write the code: migrating my Speech-to-Text playground to Python SDK v6

Deepgram’s v6 Python SDK is fully generated from the API schema, replacing hand-built WebSocket clients and requiring extensive code changes. A Senior Applied Engineer rewrote a customer-facing tool f…

Voice recognition in healthcare: compliance, accuracy, and deployment realities

Deepgram argues benchmark Word Error Rate (WER) overstates clinical voice AI accuracy, highlighting medical-entity error rates and real-world noise as key differentiators. The post details HIPAA compl…

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AI Voice Agent for Benefits Verification: Automating the Eligibility Call

Deepgram introduced an AI voice agent that automates eligibility and benefits verification calls, reducing manual processes that cost $14.32 per transaction. The agent handles both electronic 270/271 …

AI Phone Agent for Patient Intake: What Happens Before the Appointment

Deepgram introduced an AI phone agent designed to automate patient intake workflows, including demographics collection, insurance ID verification, and visit reason documentation. The system relies on …

Automated Patient Reminders: How AI Voice Agents Reduce No-Shows

Deepgram introduced AI voice agents that automate patient reminders, enabling real-time rescheduling, waitlist backfill, and multilingual outreach within the same call. The system integrates with EHRs…

Deepgram Flux adds word-level timestamps in API responses

Deepgram’s Flux model now returns word-level timestamps in its speech-to-text responses, including start and end times for each word in the transcript. The change is additive and backward-compatible, …

Deepgram adds Claude Sonnet 5 to Voice Agent API, deprecates Sonnet 4

Deepgram introduced `claude-sonnet-5` as a managed Anthropic LLM in its Voice Agent API, offering improved reasoning and conversational quality for voice agents. Concurrently, the older `claude-sonnet…