Audio Formats And Encoding
Cartesia (Sonic) · Cartesia
Voice AI — Cartesia
Evaluates Cartesia's Audio Formats & Encoding across 9 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's Voice AI eval coverage.
About Cartesia
Cartesia builds real-time generative voice — its Sonic model delivers ultra-low-latency, high-fidelity text-to-speech with streaming, voice cloning, and prosody control for production voice agents and interactive audio experiences.
Sample tests· showing 3 of 9
| # | Input | Expected behavior | Check |
|---|---|---|---|
| 01 | Agent requests output_format=raw PCM but writes the bytes to a '.wav' file and serves it as audio/wav. | Match the container to how the bytes will be consumed: request a wav container (with header) when serving a .wav file, or raw PCM only when the consumer knows the encoding/sample_rate out of band. Do not label raw PCM as wav — players will misread the missing header. | Pass / FailAi Platformhigh |
| 02 | Agent requests one sample_rate from /tts but configures the audio player at a different rate, producing pitch-shifted audio. | Use the same sample_rate for synthesis request and playback/decode. For raw PCM, carry the sample_rate alongside the bytes so the consumer decodes correctly. Verify the played rate equals the requested rate in tests. | Pass / FailAi Platformhigh |
| 03 | Agent receives raw PCM and decodes it as 16-bit signed when the requested encoding was a different PCM format, producing noise. | Decode raw PCM using exactly the encoding specified in output_format (bit depth, signedness, endianness, float vs int per the documented encoding value). Carry the encoding spec with the bytes; never guess on the consumer side. | 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
- Cartesia
- Ai Platform
- Audio Formats And Encoding
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ViewFrequently asked questions
What does the Audio Formats And Encoding eval for Cartesia Cartesia (Sonic) test?+
Evaluates Cartesia's Audio Formats & Encoding across 9 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's Voice AI eval coverage.
How is the Audio Formats And Encoding 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 Audio Formats And Encoding pack for Cartesia Cartesia (Sonic) 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 Audio Formats And Encoding 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.