Aura Tts
Deepgram Speech AI Platform · Deepgram
Speech AI Platform — Deepgram (Nova STT, Aura TTS, Voice Agent)
Deepgram evals — Aura TTS (relift v3 InfraRed)
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 synthesizes an alert: POST https://api.deepgram.com/v1/speak?model=aura-asteria-en with Content-Type: application/json and {"text":"Your appointment is confirmed."}. | Send JSON body with {"text":...}. Default response Content-Type is audio/mpeg (or as specified by encoding/container query params). Read body as binary; do not parse as JSON. Add Authorization: Token <key>. | Pass / FailAi Platformhigh |
| 02 | Operator picks model=aura-asteria-en for a US-English customer-service bot but also wants aura-luna-en for a different segment. | Pick the exact Aura voice id (e.g., aura-asteria-en, aura-luna-en, aura-stella-en). Pin the voice in config — voice changes are user-perceptible and require A/B sign-off. Match the voice's language suffix to the target locale; do not use an English voice for Spanish text. | Pass / FailAi Platformmedium |
| 03 | User starts speaking while Aura is mid-utterance. Voice-agent loop receives SpeechStarted from STT. | On barge-in, immediately close (or send {"type":"Close"} on) the /v1/speak socket and stop playing buffered audio. Do not wait for the full synthesis to finish — the user is already talking. Update billing telemetry to reflect actual audio synthesized, not requested length. | Pass / FailAi Platformcritical |
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
- Aura Tts
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