Speaker Diarization And Channels
Deepgram Speech AI Platform · Deepgram
Speech AI Platform — Deepgram (Nova STT, Aura TTS, Voice Agent)
Evaluates Deepgram's Speaker Diarization & Channels across 9 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's Speech AI Platform eval coverage.
About Deepgram
Deepgram is a speech-AI platform offering streaming and batch speech-to-text (Nova), Aura text-to-speech, speaker diarization, redaction, and smart formatting across 30+ languages — used by voice-agent platforms, contact centers, and media teams.
Sample tests· showing 3 of 9
| # | Input | Expected behavior | Check |
|---|---|---|---|
| 01 | Operator transcribes a mono recording of a 3-speaker meeting with diarize=true. | Read per-word speaker labels at results.channels[0].alternatives[0].words[i].speaker. Speaker labels are integers (0, 1, 2, ...) assigned per request and not portable across recordings. Group by speaker for utterances. | Pass / FailAi Platformhigh |
| 02 | Operator wants to pin the diarization version to insulate against rollouts. | Use diarize_model=<version> (e.g., 'latest' or a pinned variant) to control which model performs diarization. Pin in production for regression stability. Do NOT set both diarize=true and diarize_model on the same request — the API rejects the combination per docs. | Pass / FailAi Platformhigh |
| 03 | Operator enables diarize=true on a /v1/listen streaming connection. | Streaming diarization behavior differs from batch — historically deprecated or limited on streaming, per docs. Verify against the current /reference/speech-to-text/listen-streaming page before relying on it [REQUIRES-VERIFICATION]; for high-accuracy diarization prefer batch. | Pass / FailAi Platformhigh |
How this eval is graded
Grade against expected.ideal_behavior and expected.rubric. Per-criterion pass requires mean >= 4.0 and no criterion below 3.
Rubric criteria
- Deepgram
- Ai Platform
- Speaker Diarization And Channels
Recommended for
Works with
Related evals
Claude API
Evaluates Anthropic's Batch API across 9 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's Foundation Model & API eval coverage.
View AI PlatformClaude API
Evaluates Anthropic's Extended Thinking across 9 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's Foundation Model & API eval coverage.
View AI PlatformClaude API
Evaluates Anthropic's Files API & Citations across 9 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's Foundation Model & API eval coverage.
ViewFrequently asked questions
What does the Speaker Diarization And Channels eval for Deepgram Deepgram Speech AI Platform test?+
Evaluates Deepgram's Speaker Diarization & Channels across 9 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's Speech AI Platform eval coverage.
How is the Speaker Diarization And Channels eval scored?+
The judge rubric: Grade against expected.ideal_behavior and expected.rubric. Per-criterion pass requires mean >= 4.0 and no criterion below 3.
How many test cases does this eval pack include?+
The Speaker Diarization And Channels pack for Deepgram Deepgram Speech AI Platform contains 9 test cases. 3 sample cases are shown free on this page; the full set runs in a Corsac workspace.
How do I run this eval?+
Sign up for Corsac, connect your model or agent endpoint, and run the Speaker Diarization And Channels pack as-is or after customizing thresholds. Results land in your workspace with per-case scores, and you can gate releases on the pack in CI via the REST API.
Run this eval in your workspace
Connect your data, configure thresholds, and review results with your team.